Real Estate

Special Report

Highlights Building on a previous special report focused on the investable market, in this report we construct and present models designed to predict the odds of Chinese domestic equity sector outperformance. BCA Research's China Investment Strategy service will aim to use our newly developed sector outperformance probability models to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. Episodes of domestic equity sector outperformance over the past decade appear to be more idiosyncratic (or sector specific) than has been the case for the investable market, suggesting that periods of “abnormal” relative sector performance may occur more frequently than in the investable universe. Among the predictors included in our model, our Li Keqiang leading indicator (based on monetary conditions, money, and credit growth) has been the most important. Our base case view argues in favor of domestic cyclicals over defensives over the coming year, but recent sector performance suggests that domestic consumer discretionary and tech should be favored within a cyclical equity portfolio over energy, materials, and industrials barring a surge in oil prices or a capitulation by Chinese policymakers in favor of “flood irrigation-style” stimulus. Over the long-term, we argue that investors have a good reason to favor domestic defensives over cyclicals until the latter demonstrates meaningfully better earnings performance. Feature We examined China’s investable equity sector performance in detail in our October 30 Special Report,1 with a particular emphasis on understanding the specific macroeconomic or equity market factors that have historically predicted relative sector performance. In today’s report, we extend our approach to China’s A-share market. Our research focused on constructing and presenting models that quantify a checklist-based approach to determining the odds of equity sector performance. The aim is to use these models to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. These recommendations will not mechanically follow the models; rather, we plan to use them as a stand in for what typically would be expected given the macro and financial market environment, and as a basis to investigate “abnormal” relative performance. We find that episodes of domestic equity sector outperformance over the past decade appear to be more idiosyncratic (or sector specific) that has been the case for the investable market, suggesting that periods of “abnormal” relative sector performance may occur more frequently than in the investable universe. Among the macroeconomic and equity market factors that we found to be important predictors, our Li Keqiang leading indicator was the most significant. This confirms that China’s domestic market is more sensitive to monetary conditions, money, and credit growth than its investable peer. We also note the sharp difference in the relative performance of cyclicals versus defensives in the domestic market compared with the investable market, and what this means for investors over the coming 6-12 months. Finally, we argue that investors should maintain a structural bias towards defensive stocks in the domestic market until cyclicals demonstrate meaningfully better earnings performance, and point to an existing position in our trade book for investors interested in strategically allocating to the A-share market. Detailing Our Approach In our effort to better understand historical periods of domestic sector performance, we have chosen to model the probability of outperformance of each level 1 GICS sector (plus banks) based on a set of macro and equity market variables. Specifically, we use an analytical tool called a logistic regression, which forecasts the probability of a discrete event rather than forecasting the value of a dependent variable. We utilized this approach when building our earnings recession model for China (first presented in our January 16 Special Report).2 The “events” that we modeled are historical periods of individual Chinese investable sector outperformance from 2010 to 2018, relative to the MSCI China index (the “broad market”). We find that episodes of domestic equity sector outperformance over the past decade appear to be more idiosyncratic (or sector specific) than has been the case for the investable market. Chart I-1A and Chart I-1B illustrate these periods with shading in each panel. We then attempt to explain these episodes of outperformance with the following macro predictors: Chart I-1AThis Report Builds Models ##br##Aimed At... Chart I-1B...Predicting The Shaded Regions Of These Charts Periods of accelerating economic activity, represented by our BCA's China Activity Index Periods of rising leading indicators of economic activity, represented by our BCA Li Keqiang (LKI) Leading Indicator Episodes of tight monetary policy, defined as periods where China’s 3-month interbank repo rate is rising Periods of accelerating inflation, measured both by headline and core inflation We also include several equity market variables: uptrends in relative sector earnings, periods of rising broad market stock prices, uptrends in broad market earnings, and episodes of extreme technical conditions and relative over/undervaluation for the sector in question. In the case of energy stocks, we also include oil prices as a predictor. Chart I-2A and Chart I-2B illustrate these periods as well as the macro & market variables that we have included as predictors. Chart I-2AWe Use These Macroeconomic And Equity Market Factors... Chart I-2B...To Predict Periods Of Equity Sector Outperformance Our approach also accounts for the existence of any leading or lagging relationships between the macro and market variables we have used as predictors and sector relative performance. In most cases the predictors lead relative sector performance, but in some cases it is the opposite. In the case of the latter, we have limited the lead of any variable in our models to three months in order to reduce the need to forecast. Finally, our approach also limits the extent to which we consider a leading relationship between our predictors and relative sector performance, in order to avoid picking up overlapping economic cycles. This issue, and the evidence supporting the existence of a 3½-year credit cycle in China, is detailed in Box I-1 of our October 30 Special Report (please see footnote 1). Key Drivers Of Sector Performance: Domestic Versus Investable Pages 11-22 present the results of each sector’s outperformance probability model, along with a list of factors that were found to be useful predictors and a summary of the results. The importance of the factors included in the models is shown in each of the tables at the top right of pages 11-22 by a score of 1-3 stars, (loosely representing key levels of statistical significance) as well as each factor’s optimal lead or lag. A minus sign shows that the predictor leads sector relative performance, whereas a plus sign shows that it lags. Following a review of our domestic equity sector outperformance models, differences in the results from those presented in our previous report can be organized into three distinct elements: 1) the breadth of macro & equity market factors in predicting sector performance, 2) the relative importance of our LKI leading indicator, and 3) the difference between domestic/investable cyclical versus defensive performance. The Breath Of Predictive Factors Chart I-3In The Domestic Market, The Breadth Of Predictive Factors Is Narrower Compared with the models for investible sector performance that we detailed in our previous report, our work modeling domestic equity sector performance highlights that the breadth of predictive factors is narrower, particularly among cyclical sectors (Chart I-3). Our model for domestic materials (shown on page 12) is one exception to this rule, but we found that our models for energy, industrial, and consumer discretionary relative performance were all focused on fewer predictors than is the case for the investable market. In addition, our domestic utilities model has considerably worse predictive power than our model for investable utilities. The case of industrials is particularly notable: our model for investable industrials highlighted the importance of tight monetary policy, rising core inflation, rising broad market stock prices & earnings, and overbought and oversold technical conditions in explaining past periods of industrial sector outperformance. By contrast, our domestic industrials model is quite simple: the sector has been more likely to outperform, with a lag, when our BCA China Activity Index and LKI leading indicator have been rising, and underperform following periods of extreme overvaluation. One of the core conclusions of our previous report was that investors should view the relative performance of investable industrials versus consumer staples as a reflationary barometer, given the strong sensitivity of both sectors to tight monetary policy. We explained this sensitivity by pointing to the substantial difference in corporate health between the two sectors: industrial firms are heavily debt-laden and thus experience deteriorating operating performance and an environment of rising interest rates. In comparison, food and beverage firms appear to have the strongest balance sheets among the sub-sectors that we have examined, suggesting that they would benefit less from easier monetary conditions than firms in other industries. Our leading indicator for Chinese economic activity has been considerably more important in predicting domestic equity sector outperformance than in the investable market. However, these dynamics appear to be completely absent in influencing performance in China’s domestic equity market. Not only has domestic industrial sector relative performance not been negatively linked to periods of tight monetary policy, but our model for consumer staples (shown on page 15) highlights that periods of staples performance have been driven by two simple factors: the relative trend in staples EPS  (positive sign), and the trend in broad market EPS (negative sign). The Relative Importance Of Monetary Conditions, Money, And Credit Growth Chart I-4 summarizes the significance of the factors in predicting sector performance in general, by summing up each predictor’s number of stars across all of the models. The chart shows that our LKI leading indicator is the most important signal of sector performance that emerged from our analysis, followed by rising core inflation, rising broad market stock prices, rising economic activity, and oversold technical conditions. The ranking of results shown in Chart I-4 is fairly similar to those that we listed for the investable market, with two exceptions. First, for the domestic market, periods of tight monetary policy were considerably less important than in the investable market as an important predictor of relative sector performance. Instead, our LKI leading indicator was by far the most important predictor, which underscores a point that we have made in previous reports: domestic stocks appear to be much more sensitive to the trend in monetary conditions, money, and credit growth than for the investable market. This increased sensitivity has helped explain the difference in performance this year between the investable and domestic market, underscoring that the former has more catch-up potential than the latter in a trade truce scenario. Chart I-4Monetary Conditions, Money, & Credit Growth Drive A-Share Performance Second, in the investable market, episodes of significant overvaluation had essentially no power to predict future episodes of equity market underperformance. But this factor was an important or very important contributor to our domestic industrials, health care, and tech models. This finding is consistent with our May 23 Special Report, which noted that value stocks have outperformed in China’s domestic equity market over the past five years and underperformed in the investable market (Chart I-5). Chart I-5Value Has Been A More Successful ##br##Factor In The Domestic Market   Major Differences In The Performance Of Cyclicals Versus Defensives The results of our models for domestic equity sector performance did not change the cyclical & defensive labels that we applied in our previous report. The signs of the predictors shown in the tables on pages 11-22 clearly highlight that the domestic energy, materials, industrials consumer discretionary, and information technology sectors are cyclical sectors, and that consumer staples, health care, financials, telecom services, utilities, and real estate are defensive. What is striking, however, is that there is a major difference in the relative performance of equally-weighted domestic cyclicals versus defensives compared with what has occurred in the investable market over the past decade. Chart I-6A and Chart I-6B illustrate the different relative performance trends, along with their corresponding trends in relative P/E and relative EPS. Whereas the relative performance of investable cyclicals versus defensives has had somewhat of a stable mean over the past decade, domestic cyclicals have badly underperformed since early-2011. The charts also make it clear that this underperformance has been driven by a downtrend in relative EPS, not due to trend differences in relative valuation. Chart I-6ACyclicals/Defensives Somewhat Mean-Reverting In The Investable Market... Chart I-6B...But Not So In The Domestic##br## Market Digging further, it appears that this discrepancy can be largely explained by the significant difference in performance between investable and domestic tech over the past decade (Chart I-7). Whereas the former has outperformed the overall investable index by roughly 4-5 times since 2010, the relative performance of the latter has only very modestly risen. In effect, Charts I-6 and I-7 highlight that Chinese cyclical sectors have been structurally impaired over the past decade and have only been “saved” in the investable market by massive outsized outperformance of the tech sector. The fact that investable tech sector performance itself has been largely driven by 2 extremely successful firms underscores how narrowly based the investible cyclical versus defensives performance trend has been. Chart I-7A Huge Gap In Tech Explains Domestic Cyclical Underperformance Investment Conclusions There are three conclusions that investors can draw from our analysis. First, our research shows that episodes of domestic equity sector outperformance over the past decade appear to be more idiosyncratic (or sector specific) that has been the case for the investable market. This does not mean that domestic sector performance is not significantly impacted by macro and top down equity market factors, but it suggests that periods of “abnormal” relative sector performance may occur more frequently than in the investable universe. As such, investors should be prepared to include episode-specific investigation of abnormal performance as a regular part of their domestic equity sector allocation decisions. Investors should favor domestic cyclicals over the coming year, with exposure focused on consumer discretionary and tech. Second, the fact that our LKI leading indicator is in an uptrend suggests that investors should favor domestic cyclicals over defensives over the coming year, with a caveat. We have noted in several previous reports that our indicator is in a shallow uptrend, and the slower pace of money and credit growth than during previous economic upswings suggests that the bar may be higher for some cyclical sectors to outperform. We would advise investors to watch closely over the coming 3-6 months for signs of a technical breakout in all cyclical sectors. But sector performance in Q1 of this year, when the overall A-share market rose sharply versus global stocks, suggests that domestic consumer discretionary and tech should be favored within a cyclical equity portfolio over energy, materials, and industrials barring a surge in oil prices or a capitulation by Chinese policymakers in favor of “flood irrigation-style” stimulus (Chart I-8). Within resources, we prefer the investable energy sector to its domestic peer, due to a sizeable valuation advantage. Chart I-8Favor Select Domestic Cyclical Sectors Over The Coming Year As a third and final point, abstracting from our bullish outlook for select cyclical sectors over the coming year, Charts 6 and 7 clearly argue for investors to maintain a structural bias towards defensive stocks in the domestic market until cyclicals demonstrate meaningfully better earnings performance. In the May 23 Special Report that we referred to above, we noted that an A-share portfolio formed of industry groups with above-median return on equity and below-median ex-post beta has significantly outperformed over the past decade. Table I-1 presents the current industry group weights of this portfolio, and shows that overweight exposure is concentrated in the health care, consumer staples, and real estate sectors (all of which are defensive), and a heavy underweight towards industrials. Table I-1Current High ROE / Low Beta Factor Industry Group Portfolio Weights* For clients who are interested in strategically allocating to the A-share market, we maintain a long position in this portfolio relative to the MSCI China A Onshore index in our trade book, and plan to continue to update the performance of the trade on a weekly basis. Energy Chart II-1 Table II-1 Similar to the investable energy sector, periods of domestic energy sector outperformance are strongly positively related to rising oil prices and rising headline inflation in China. We noted in our previous report that this is a behavioral relationship, rather than a fundamental one. Domestic energy stocks are negatively associated with rising broad market stock prices, unlike their investable peers. This largely reflects the fact that the relative performance of domestic energy stocks has been in a structural downtrend over the past decade. From 2010 to mid-2016, this decline was caused by a persistent underperformance in earnings. Since mid-2016, domestic energy sector EPS have been rising in relative terms, meaning that more recent underperformance has been due to multiple contractions. While not as relatively cheap as their investable peers, domestic energy stocks are heavily discounted versus the broad domestic market based on both the price/earnings ratio and the dividend yield. Consequently, it is possible that domestic energy stocks may at some point begin to outperform in a rising broad equity market environment. For now, our model argues for an underweight stance towards domestic energy due to the lack of a clear uptrend in oil prices. As a pure value play, investable energy stocks maintain a dividend yield of nearly 6.5%, and are thus more attractive than their domestic peers. Materials Chart II-2 Table II-2 Our model for the domestic materials highlights that the sector’s performance has been related to strengthening economic activity and strongly related to a rising Li Keqiang leading indicator. Among the equity market variables that we tested, materials outperformance has been positively associated with rising relative EPS, rising broad market EPS, and prior oversold technical conditions. Similarly, the investable materials sector, these results show that domestic materials are a strong play on accelerating Chinese economic activity. The factors included in our domestic materials sector model are similar to those included in our investable material, except that relative material earnings have also been a significant predictor of sector relative performance. In addition, the macro & equity market predictors included in our domestic materials model have done a better job of leading material sector performance. The odds of domestic materials outperformance rose twice above the 50% mark this year according to our model, without any corresponding improvement in relative stock prices. The spikes in the model occurred largely because domestic materials became significantly oversold; technical conditions for the sector have only twice been weaker over the past decade. This underscores that investors should be watching domestic materials closely in Q1 of next year for signs of a relative rebound. Industrials Chart II-3 Table II-3 The results of our model for domestic industrial sector outperformance are interesting, as they imply that the drivers of performance are different between the domestic and investable markets. In the investable index, we found that industrials were heavily sensitive to monetary policy, rising core inflation, relative sector earnings, and periods of rising broad market stock prices. Our domestic model is considerably simpler: industrials outperform, with a lag, when our activity index and Li Keqiang leading indicator are rising. Periods of strong overvaluation have also been significant in predicting future episodes of domestic industrial sector underperformance. It is not clear to us why the drivers of relative performance for domestic industrials have been different than in the investable equity index, But the good news is that the relative simplicity of the model makes the investment decision making process for domestic industrials considerably easier. Today, domestic industrials are significantly undervalued, and our Li Keqiang leading indicator is in a shallow uptrend. This suggests that domestic industrials are likely to begin outperforming at some point in early-2020 following a bottoming in Chinese economic activity, unless policymakers are quick to tighten once activity begins to improve (which would be contrary to our expectations). Consumer Discretionary Chart II-4 Table II-4 Our domestic consumer discretionary model highlights that the sector’s relative performance is positively associated with a rising Li Keqiang leading indicator, rising core inflation, and rising broad market stock prices. Similar to its investable peers, domestic consumer discretionary stocks are cyclical, and positive relationship with core inflation may reflect improved pricing power for the sector. Unlike investable consumer discretionary, the domestic consumer discretionary has not been meaningfully impacted by the December 2018 changes to the global industry classification standard. Hence, our model does not exclude the internet & direct marketing retail sector as we did in our previous report on investable sectors. For now, our model suggests that the domestic consumer discretionary sector is likely to continue to underperform, given decelerating core inflation and the lack of a clear uptrend in the broad domestic equity index. However, as a cyclical sector, we will be watching closely for an upside breakout in domestic consumer discretionary performance in the first quarter as a signal to increase exposure to the sector. Consumer Staples Chart II-5 Table II-5 Our domestic consumer staples model is significantly different than that shown in our previous report for investable staples. This reflects sizeable differences in investable/domestic staples relative performance over the past decade, particularly from mid-2015 to late-2017 (where domestic staples outperformed significantly and investable staples languished). Of the two predictors found to be significant in explaining historical periods of domestic staples performance, a negative relationship with the trend in broad market EPS has been the most important. This underscores that staples are defensive sector. The trend in staples relative earnings has closely followed in importance, showing that the tremendous outperformance in domestic consumer staples over the past several years has, at least in part, been driven by fundamentals. Still, domestic consumer staples are currently priced at 34x earnings per share, compared with 15x for the overall domestic market. While our model currently argues for continued staples outperformance, the risk of a valuation mean reversion next year, against the backdrop of an improving economy, is above average. Over the coming 6-12 months, investors should be closely monitoring domestic staples for signs of waning earnings momentum and/or a major technical breakdown as potential signals to reduce domestic staples exposure. Health Care Chart II-6 Table II-6 Over the past decade, periods of domestic health care outperformance have been negatively associated with rising economic activity, rising core inflation, and rising broad market stock prices. Oversold technical conditions and periods of overvaluation have also helped predict future episodes of health care relative performance. These factors clearly point to the defensive nature of domestic health care, similar to health care stocks in the investable index. However, one clear difference between investable and domestic health care is that the former appears to have leading properties and the latter does not. We noted in our previous report that periods of investable health care underperformance appeared to lead, on average, our BCA Activity Index, periods of rising core inflation, and uptrends in the broad investable index. By contrast, domestic health care lags the Activity Index and core inflation by just over a year, and also lags the trend in broad market EPS. Our model points to further health care outperformance, but we would expect domestic health care stocks to underperform at some point next year following an improvement in economic activity and a resumed uptrend in broad domestic EPS. Financials Chart II-7 Table II-7 Our outperformance probability model for domestic financials highlights that the sector is countercyclical: periods of outperformance have been negatively related to our LKI leading indicator, rising core inflation, and rising broad market stock prices. Similar to the case of the investable index and unlike the case globally, financials are clearly defensive. Investable financials have exhibited atypical performance this year according to the model presented in our previous report. By contrast, domestic financials have performed in line with what our model has suggested: our LKI leading indicator is in a shallow uptrend, and the relative performance of domestic financials has trended flat-to-down since late-2018. Barring a major shift by the PBoC towards a hawkish stance in the coming year (which we do not expect), our base case view for the Chinese economy implies that domestic financials are likely to continue to underperform. Banks Chart II-8 Table II-8 Our model for domestic banks is similar to that of financials, with some important differences. In addition to being sensitive to our LKI leading indicator, domestic bank performance is negatively related to our Activity Index. Oversold technical conditions have also been quite important in predicting future episodes of domestic bank outperformance. The model is currently forecasting domestic bank underperformance, although it was late in predicting the selloff in bank stocks that began late last year. Similar to the case for domestic financials, our baseline view for the Chinese economy implies that domestic bank are likely to continue to underperform over the coming year. Information Technology Chart II-9 Table II-9 Our model for the domestic technology sector is different than that of investable tech, which reflects the vast difference in performance between the two sectors. While the relative performance of domestic tech has trended sideways over the past decade, investable tech stock prices have risen fourfold relative to the broad investable index. This difference is largely accounted for by the absence of the BAT stocks (Baidu, Alibaba, Tencent) from the domestic market. Similar to investable tech, domestic technology stocks are negatively related to tight monetary policy, and positively linked with a pro-cyclical economic variable (a rising LKI leading indicator). However, strangely, domestic tech has been strongly and negatively related to rising headline inflation, a finding with no clear fundamental basis. The model has been less successful in predicting domestic tech performance over the past year than in the past, which appears to be linked to the inclusion of headline inflation in the model. Rising headline inflation has been clearly associated with three major episodes of domestic tech underperformance since 2010, but over the past year domestic tech has outperformed as headline inflation accelerated. For now we would advise investors to focus on the other factors in the model: the lack of overvaluation, and our view that policy will remain easy on a measured basis, supports an overweight stance towards domestic tech over the coming year. Telecom Services Chart II-10 Table II-10 Our domestic telecom services relative performance model highlights that the sector is defensive like its investable peer, but the factors driving performance are somewhat different. The only similarity between the two models is that periods of outperformance are negatively related to rising broad market stocks prices for both investable and domestic telecom services, with domestic telecom stocks responding with a lag. Among the macro factors included in the model, periods of domestic telecom services outperformance are negatively and coincidently related to our LKI leading indicator, and positively related to tight monetary policy (with a slight lead). Oversold technical conditions have also proven to help predict future episodes of outperformance. The model failed to predict a brief period of outperformance in mid-2018, but has generally accurately predicted underperformance of domestic telecom stocks since early-2017. Barring a collapse in the US/China trade talks or considerably weaker near-term economic conditions than we expect, domestic telecom services will likely continue to underperform until the specter of tighter monetary policy emerges. This is unlikely to occur until the middle of 2020, at the earliest. Utilities Chart II-11 Table II-11 Overall, our domestic utilities model has considerably worse predictive power than our model for investable utilities. The model shows that the performance of domestic utilities is negatively related to rising core inflation (with a lag) and rising broad market EPS, but these relationships are not particularly strong. We noted in our June 19 Special Report that domestic utilities ranked highly on the impact that relative EPS had on predicting relative stock prices , yet relative sector earnings did not register as a significant predictor in our model. This apparent discrepancy is resolved by differences in the time horizon between these two approaches. The analysis that we presented in our June 19 Special Report examined the relationship between earnings and stock prices over the entire sample period (2011-2018), meaning that it examined the predictive power of earnings over the long-term. The models built in this report have focused strongly on explaining periods of outperformance over a 6-12 month time horizon, there have been enough deviations in the trend between the relative performance of utilities and relative utilities earnings that the relationship between the two was not sufficiently strong to show up in the model. In other words, the long-term link between utilities relative earnings and stock prices is strong, but the short-term link is fairly weak. Real Estate Chart II-12 Table II-12 Similar to investable real estate, our model shows that domestic real estate is a counter-cyclical sector in that it is negatively related to periods of rising economic activity, a rising LKI leading indicator, tight monetary policy, and rising core inflation. Overbought technical conditions have also aided in predicting future episodes of domestic real estate underperformance. Our model for domestic real estate stocks has performed quite well on average, but its predictive success since late-2017 has been mixed. This period of atypical underperformance has coincided with a considerably weaker rebound in residential floor space sold than has occurred in previous recoveries in the real estate market. This suggests that domestic real estate stocks are more susceptible to trends in housing sales than their investable peers (which appear to be mostly sensitive to rising house prices). We noted in our November 6 Weekly Report that floor space sold is picking up , but it still remains weak when compared with history. This, in combination with our view that the Chinese economy will improve over the coming year, suggests that investors should avoid domestic real estate exposure relative to the overall domestic equity market. Footnotes 1  Please see China Investment Strategy Special Report "A Guide To Chinese Investable Equity Sector Performance," dated October 30, 2019, available at cis.bcaresearch.com 2  Please see China Investment Strategy "Six Questions About Chinese Stocks," dated January 16, 2019, available at cis.bcaresearch.com 3  Please see China Investment Strategy Special Report "Chinese Equity Sector Earnings: Predictability, Cyclicality, And Relevance," dated June 19, 2019, available at cis.bcaresearch.com 4  Please see China Investment Strategy Weekly Report "China Macro And Market Review," dated November 6, 2019, available at uses.bcaresearch.com Cyclical Investment Stance Equity Sector Recommendations

Highlights Monetary policy settings should continue to sustain the expansion,… : Tight monetary policy is a precondition for a recession. Although the line separating tight from easy is a matter of judgment, current Fed policy is squarely accommodative.  … and the building blocks of GDP confirm that recession is not an imminent threat: A robust labor market and fortified household balance sheets should continue to support consumption; the fixed investment outlook is okay as long as trade tensions don’t wreck business confidence; and the fiscal taps are likely to remain open throughout 2020. Housing will not get in the way of the economy or the markets: Mortgage rates have fallen since we examined housing dynamics in a two-part Special Report this time last year, and residential investment will increasingly reflect it. We project that the beginning of the next recession is about two years away, and that the equity and credit bull markets still have room to run: We are not perma-bulls, but there’s no evidence that the long bull run is about to end. Feature We view the study of key cycles – the business cycle, the credit cycle, the monetary policy cycle and the sentiment cycle – as an essential element of investment strategy. The monetary policy cycle has been especially critical throughout the long expansion and bull market because it has held sway over the business cycle and the credit cycle since the crisis. We have also found that it exerts a powerful influence on equity returns: for six decades, stocks have done very well when policy is easy, but they have failed to generate positive real total returns when it’s tight. There is far more to investment returns than monetary policy, but a simple strategy of embracing risk during easy-policy phases of the fed funds rate cycle and limiting exposure to it when policy is tight has been a big winner over time. Although the fed funds rate cycle has been an especially valuable input in our process, it relies on an estimate. The equilibrium, or neutral, fed funds rate cannot be directly observed. We can only infer when the target fed funds rate crosses above or below it by observing actual economic performance. We continually review real-time data to gauge whether our equilibrium estimate is in the ballpark. As a formal check on that estimate, we regularly examine the building blocks of GDP for insight into where the business cycle is going. We update our review of the GDP equation in this report, and conclude that the expansion should remain on track over the next six to twelve months. We also provide an update on housing a year after our dedicated Special Reports on the topic, finding that it is unlikely to derail the expansion. The GDP Equation – Consumption As we all learned in Introductory Macroeconomics, GDP is the sum of consumption (C), investment (I), government spending (G) and net exports (X-M). As net exports are insubstantial in the comparatively closed US economy, US GDP growth reduces to the weighted sum of growth in consumption, investment and government spending, with consumption accounting for two-thirds of growth and investment and government spending accounting for one-sixth each. GDP = C + I + G Month-to-month moves in real retail sales and personal consumption expenditures (PCE) are volatile, but both series have recovered from their late-2018 softness to get back to their mean for this cycle, somewhat below the means of the previous two expansions (Chart 1). The activity supports our constructive take at the time of our initial review of the GDP equation in April,1 but the choppy series do not provide much insight into the consumption outlook. Looking forward involves examining households’ income prospects and balance sheets to project the money that will be coming in, and consumers’ ability and willingness to spend it. Chart 1Consumption Has Been Holding Up Well Labor market conditions drive household income, and they remain quite tight. The number of unfilled job openings continues to exceed the number of unemployed workers (Chart 2), indicating that demand for employees remains strong. An elevated quits rate indicates that employers are competing fiercely to meet that demand, even to the point of poaching employees from one another (Chart 3). Our payrolls model projects that employment growth will stay close to its pace of the last several years (Chart 4, top panel), as small businesses have ambitious hiring plans (Chart 4, second panel), temporary employment is still growing (Chart 4, third panel), and the 26-week moving average of initial unemployment claims is only slowly beginning to rise (Chart 4, bottom panel). Chart 2With More Jobs Than Workers, ... Chart 3... Employees Can Seek Out Greener Pastures Chart 4Payrolls Will Keep Expanding Wages are already growing around 3% year-over-year, and the tight labor-market backdrop should promote further gains. With employers forced to bid up wages to attract a shrinking pool of available workers, we expect that wage growth will peak somewhere above 3.5% before the cycle ends. Humans’ ability to see into the future does not extend beyond six to twelve months, but we are confident that more households will be working by the middle of 2020 than are working now, and that they’ll be earning more, in real terms. Households don't have to spend their income gains, but they're in a comfortable position to do so after several years of building up savings and working down debt. Households won’t necessarily spend all of their income gains. They may choose to direct them to paying down debt or increasing savings. Their balance sheets suggest they don’t have a need to do so, however, as the savings rate is back to early ‘90s levels above 8% (Chart 5, top panel), nearly all the debt as a share of GDP that they took on in the last expansion has been worked off (Chart 5, middle panel), and their aggregate debt service burden is lower now than it has been at any point in the last 40 years (Chart 5, bottom panel). Not only do households face little pressure to save their coming income gains, they have plenty of capacity to borrow to augment them. Chart 5Household Finances Are Solid The GDP Equation – Investment And Government Spending Investment accounts for just a sixth of GDP, but its volatility gives it a greater likelihood of tipping the economy into a recession than either consumption or government spending (Chart 6). Per the surveys we use to anticipate capital expenditures, the change since April is mixed. Small business capital spending plans as reported in the NFIB survey have ticked up and remain elevated (Chart 7, top panel), while capex intentions from the regional Fed manufacturing surveys have continued to slip and are only around their historical mean (Chart 7, bottom panel). We expect that the trade negotiations will exert a powerful near-term pull on corporate capex; if the US and China reach some sort of accord, capex should pick up, but if tensions worsen, corporate confidence will decline and capex may outright contract. Our base case calls for a modest détente around a Phase 1 agreement, so we do not expect that investment will break down, but it is the most vulnerable component of GDP and we are watching it closely. Chart 6Investment Is The Swing Factor Chart 7The Capex Outlook Is Only Okay, ... Government spending, on the other hand, doesn’t merit a whole lot of attention right now. It is a stable series that accounts for a modest share of GDP and for most of the postwar era, it was reliably countercyclical, shrinking when times were good and expanding when times were bad (Chart 8). The gaping divergence between the federal deficit and economic performance bodes ill for Treasuries and the dollar over the long term, but it shows that there’s no appetite for reining in federal spending ahead of the most hotly contested election campaign in recent memory. State and local spending accounts for about 60% of all government spending, and the strong labor market will boost state receipts, which come from income and sales taxes, while steady home price appreciation will support property tax receipts (Chart 9), keeping municipal coffers full. The longer-term implications of the debauched federal budget are unpleasant, but government profligacy will help sustain the expansion through the end of next year. Chart 8... But The Fiscal Party Rages On Chart 9Home Price Gains Will Fill Local Government Coffers Housing Residential investment finally broke out of a six-quarter string of detracting from GDP growth last quarter, though its drag in the first half of the year was modest. Residential investment may not exert the sway over the economy that it did earlier in the postwar era when the suburbs were being created from scratch, but its interest rate sensitivity makes it a good proxy for the effect of monetary policy on the economy. Housing has picked up as mortgage rates have fallen, and rates’ lagged effect suggests that more gains are in store (Chart 10). A high level of affordability should keep the momentum going (Chart 11), and new household formations continue to outstrip housing starts (Chart 12, top panel), at a time when inventories (Chart 12, middle panel) and vacancies (Chart 12, bottom panel) are historically low. Chart 10The Full Effect Of Lower Rates Is Yet To Be Felt Chart 11Affordability Is High, ... Chart 12... And Supply Is Tight We continue to believe that housing poses no threat to the expansion. New home sales should pick up as builders address the undersupply of homes for first-time and first move-up buyers. The cap on itemized deductions imposed by the December 2017 revision to the federal tax code does not appear to have had a material impact on regional sales activity, and the relationship between top marginal income tax rates2 and home price appreciation since the tax act passed is weak (Chart 13). The bottom line is that residential investment is more likely to boost fixed investment over the next year than it is to detract from it. Chart 13Post-Act Home Price Appreciation Among 20-City Case-Shiller Constituents Investment Implications The underlying elements of the GDP equation support our monetary policy-driven assessment that the expansion will keep chugging along. A robustly healthy labor market will support wage gains, and household balance sheets have firmed up enough to allow consumers to spend their increased income. Surveys indicate that fixed investment does not present a major economic headwind, and positive trade developments could turn it into a tailwind. Government spending will be well supported through 2020. It would be consistent with history if this bull market didn't end until it made one more big push higher. Recessions and bear markets coincide, so the equity bull market should persist until the next recession is in sight. Spread product should also continue to outperform Treasuries and cash, especially while lenders are desperately seeking incremental carry. We reiterate our broad recommendation to overweight equities and spread product, while underweighting Treasuries, and urge investors with more conservative mandates to remain at least equal weight equities and spread product. Excesses in the real economy or the financial markets are a recession prerequisite, and it is quite possible that the excesses that precipitate the next recession will not emerge until after stocks make another significant move higher. We want to be positioned to participate in that move, which would be consistent with bull markets’ established tendency to sprint to the finish line.   Doug Peta, CFA Chief US Investment Strategist dougp@bcaresearch.com Footnotes 1 Please see the April 8, 2019 US Investment Strategy Weekly Report, “If We Were Wrong,” available at www.bcaresearch.com 2 The 2017 Act capped the amount of state and local tax payments household filers could claim as itemized deductions, severely reducing the federal government’s homeownership subsidy. Residents of states with high income tax rates lost the most from the change, but those states’ housing markets have not yet experienced disproportionately negative impacts.

  Real estate activity in general, and property construction volumes in particular, are critical to our thesis of an ongoing growth slowdown in China. The basis is that construction volumes on the mainland have a considerable impact on industrial activity both within and outside China. On the structural front, housing demand is facing major headwinds: Genuine pent-up demand for housing has diminished. Most Chinese households already own at least one property. Based on a recent survey conducted by The Economic Daily,1 nearly 97% of households surveyed own at least one residential property. Last year’s China Household Finance Survey (CHFS), conducted by Southwestern University of Finance and Economics of China, showed about 68% of new homes sold in China’s urban areas in the first quarter of 2018 were purchased for the purpose of investment. In addition, the living area per capita in China’s urban areas has risen to 40 square meters as of the end of last year – larger than in South Korea and Japan. Other structural impediments include low affordability, slowing rural-to-urban migration, demographic changes and the promotion of the housing rental market. The government has been repeatedly stressing that China will not use the property market as a short-term economic growth-booster this time. The authorities will also continue to prevent speculative housing demand. Between late 2015 and 2017, the People's Bank of China undertook outright monetization of excess housing inventories via the Pledged Supplementary Lending (PSL) program. So far, even though the Chinese economy has already slowed considerably, the government has not injected much stimulus into the property market. On the contrary, the government has drastically reduced the number of slum-reconstruction units as well as its PSL injection this year. This year, the government has also started a new long-term project of renovating residential buildings built in 2000 or earlier. The projects involved include adding parking lots, elevators, fiber cable installments, electricity/gas line improvements, and so on. This renovation program will likely delay property purchases from those owners who were considering purchasing new properties instead of living in the older residential buildings. Chart II-1Property Sales In China: A Sustainable Recovery? From a cyclical perspective (6-12 months), falling home prices and relatively tight financing for property developers will likely prevent a recovery in construction activity: First, Chart II-1 shows there has recently been a pickup in residential property sales. Our research reveals that this has been the result of aggressive promotion strategies – price reductions – implemented by many real estate developers. Among the promotions being offered by many developers are “buy one property, get the second one at half price,” “buy a house and get a car for free,” or “buy a house and get free furniture and decorations.” Local governments have been “discouraging” outright property price declines. Yet, it seems they have allowed implicit price reductions to take place. In cases where outright price cuts cannot be avoided, the authorities try to limit them. Earlier this month, the government of Maanshan, a third-tier city in the Anhui province, released a rule instructing property developers not to lower prices by more than 10%. The outlook for China’s property market and construction activity is downbeat. As a result, official statistics on new housing prices do not truly reflect price pressures in the marketplace. Official statistics show new housing prices are rising at 9% since last year. Nevertheless, many 1st- and 2nd- tier cities are showing price declines in their secondhand residential property markets (Chart II-2).  Chart II-2China: Secondary Market Property Prices Are Weak Chart II-3Chinese Property Developers: Massive Pre-Sold Homes, But Lack Of Funding To Complete Construction   All in all, it seems that falling home prices have begun to spread from 1st tier cities to some 2nd- and 3rd-tier cities. The number of cities reporting declines in residential home prices is on the rise.   Second, in theory, falling property prices should discourage new starts and new construction. Falling prices signal that supply is exceeding demand, with producers typically responding by curtailing output. This holds true for any industry. However, the intricacies of property developers in China may be different. Chart II-4Building Construction Data Is A Broader Measure Than Commodity Buildings Specifically, property developers have been pre-selling aggressively since 2017 while slowing their completion process due to lack of financing (Chart II-3). Such financial constraints arose due to their rapid expansion in the past 10 years. Having already incurred enormous amounts of leverage, they have resorted to pre-sales as another source of funding. Property developers are currently under pressure to deliver those units that were pre sold about two years ago. Will they be able to secure new funding and ramp up construction? Or will they default or delay delivery of houses? It may well be different for each developer. The ones with strong balance sheets and access to financing will build and deliver. The weakest ones will default, while the average ones will likely delay delivery. Hence, it is difficult to gauge construction trends in the next six months in the residential property market. Even so, it is unlikely to be very strong given the industry is highly fragmented, and many small and medium and even some large developers are financially weak. Finally, there is a large gap between the two construction activity datasets – both published by the National Bureau of Statistics. These datasets are referred to as “commodity buildings” and “building construction” (Chart II-4). “Commodity buildings” – i.e., those developed by real estate developers (the equivalent of homebuilders in the US), are only a subset of “building construction.” The “building construction” dataset is more comprehensive. It includes not only “commodity buildings” but also buildings built by non-real estate developers. For example, companies, universities, and various organizations that can construct both residential and non-residential buildings for their own use. Both datasets include residential and non-residential buildings. From a cyclical perspective (6-12 months), falling home prices and relatively tight financing for property developers will likely prevent a recovery in construction activity. Chart II-5 illustrates that “building construction” floor area started, under construction and completed are all shrinking. They are much weaker than floor area started, under construction and completed of “commodity buildings.” Chart II-5Building Construction Is In Recession Chart II-6Falling Construction-Related Commodities Prices Reflect The Weakness In China Construction Activity The take-away from these datasets is as follows: Construction activity in China goes beyond property developers and “commodity buildings” statistics do not always paint the complete picture. Companies and organizations have dramatically curtailed their construction activity. Combined with tight financing conditions for real estate developers, this heralds a downbeat outlook for construction activity. Bottom Line: While short-term fluctuations in construction activity are impossible to gauge in China, the cyclical outlook remains negative. The current round of stimulus has avoided the property market, and real estate bubble excesses have not yet been wrung out. This is why we remain negative on China’s construction outlook and continue to recommend underweighting property developers relative to both the A-share and investable equity indexes. Falling steel, iron ore and industrial commodities prices confirm that construction activity in China remains weak (Chart II-6).   Ellen JingYuan He Associate Vice President ellenj@bcaresearch.com     Footnotes 1    The Economic Daily, administratively managed by the Ministry of Communication, is one of the most influential and authoritative newspapers in China. It is an official outlet for the government to publicize its economic policies.

Highlights Analysis on the Chinese property market is available below. In the Philippines, domestic demand is set to accelerate at the hands of the government’s fiscal boost. The current account deficit will widen and the peso and local bonds will likely sell-off. This warrants an underweight stance in this interest rate-sensitive bourse. A new trade: Pay 2-year swap rates. The outlook for China’s property market and construction activity is downbeat. Financial market plays leveraged to mainland construction activity remain at risk. The Philippines: The Cycle Is Turning The relative performance of Philippine equities against the EM benchmark is moving inversely to the direction of relative (Philippines minus EM) local bond yields (Chart I-1). When local Philippine bond yields drop versus those of other EMs, this bourse outperforms, and vice versa. Likewise, Philippine share prices in absolute terms exhibit a negative relationship with local bond yields (Chart I-2). The rationale behind this high sensitivity in share prices to local interest rates is the large presence of banks and property stocks in the Philippines' bourse. Banks account for 20% and real estate stocks another 21% of the local stock exchange. These sectors benefit in a falling interest rate environment and suffer during periods of rising rates. Chart I-1Philippines Vs. EM: Relative Stock Prices And Bond Yields Chart I-2Philippine Stocks Are Inversely Correlated To Domestic Bond Yields Our underweight position in Philippine equities has not played out because the economy has slowed much more than we had expected, which has also coincided with collapsing US Treasury bond yields. Consequently, Philippine local bond yields have plummeted, supporting the stock market’s absolute and relative performance. Chart I-3Philippine Growth Slowed Due To A Slump In Government Spending Chart I-4Negative Fiscal & Credit Impulse Stabilized The Current Account Deficit The growth rate of the Philippines has decelerated markedly due to sharp slowdowns in both government spending and bank loan growth (Chart I-3). In fact, the combined bank loan and fiscal spending impulse has plunged, leading to a major slowdown in domestic demand, which in turn has stabilized the current account (Chart I-4). The latter effect has supported the currency and allowed the central bank to cut rates. A budget deadlock on a number of items delayed the approval of the 2019 budget, causing government spending to plunge in the first half of 2019. In short, it was unintended fiscal tightening that has wrong-footed our view on the direction of the macro cycle, and consequently Philippine financial markets. Government spending has been instrumental in driving fixed capital formation since President Rodrigo Duterte came to power in May 2016. Philippine local bond yields have plummeted, supporting the stock market’s absolute and relative performance. Going forward, the macro cycle is set to reverse: Chart I-5Philippines: Signs Of A Growth Rebound Government expenditure will rise substantially – infrastructure spending in particular – lifting imports. The 2019 budget was approved back in April, and the House of Representatives has given the green light to extend the shelf-life of the current 2019 budget. Moreover, the fiscal 2020 budget, now approved by Duterte, entails 12% nominal growth in government expenditures in general and 14% growth in capital/infrastructure spending in particular. Duterte will oversee 100 flagship infrastructure projects estimated to cost 4.3 trillion Philippine pesos, or 24% of GDP. More than half of these projects are either ongoing or will commence construction in the next six to eight months. The larger infrastructure expenditure will encourage bank lending. Overall, domestic demand will revive considerably, causing the current account deficit to widen. Importantly, the expected fiscal boost will come on top of already strong consumer spending. The marginal propensity to spend among households and companies is already improving, confirming domestic growth acceleration (Chart I-5, top panel). In particular, both vehicle and machinery sales are recovering (Chart I-5, middle panel). Narrow and broad money impulses have bottomed (Chart I-5, bottom panel). Stronger imports amid still-depressed exports due to sluggish global demand will lead to a widening of the current account deficit. We expect the peso to resume its depreciation. Renewed currency weakness and a domestic demand revival will put a floor under inflation. The central bank is headed by Governor Benjamin Diokno, the former Budget Secretary and an associate of populist President Duterte. The odds are that the central bank will not hike interest rates in the face of a rising current account deficit and modestly rising inflation. This will reinforce currency depreciation. Finally, domestic bond yields are set to rise. A widening fiscal deficit has historically coincided with higher domestic bond yields (Chart I-6). Odds are it will not be different this time. Besides, Philippine banks have been relentlessly purchasing government bonds because credit demand from companies has been sluggish (Chart I-7). As private credit demand begins to recover and banks accelerate their loan origination, they will become net sellers – or will at least ease their pace of government bond purchases – pushing yields higher. Chart I-6Rising Fiscal Deficit Is Bad News For Bonds Chart I-7Philippine Commercial Banks Have Been Purchasing Government Bonds En Masse Bottom Line: Unintended fiscal tightening has slowed domestic demand, narrowed the current account deficit, supported the currency and induced a drop in local bond yields. This has allowed the Philippines’ interest rate-sensitive bourse to outperform the overall EM equity index. Going forward, the macro cycle is set to reverse. This cycle is about to reverse due to strong fiscal expansion: Domestic demand and imports will grow briskly, and the current account deficit will widen considerably. Widening twin deficits will lead to material currency depreciation and higher domestic bond yields. Investment Recommendations Continue shorting the Philippine peso versus the US dollar. 2-year swap rates are 48 basis points below the policy rate (Chart I-8). The market will price out rate cuts as the business cycle recovers and the currency depreciates. We recommend a new trade: pay 2-year swap rates. Dedicated EM fixed-income investors should underweight the Philippines in their EM domestic currency bonds and sovereign credit portfolios. Chart I-8The Market Is Expecting Rate Cuts Chart I-9Philippine Equity Market Is Not Cheap     Does an upcoming growth revival warrant an overweight stance in Philippine stocks within an EM equity portfolio? As shown in Charts I-1 and I-2, this equity market is more sensitive to interest rates than growth. The growth deceleration did not prevent this stock market from outperforming its EM peers. Hence, higher local bond yields amid renewed currency depreciation will likely lead to a period of underperformance. Finally, Philippine stocks are not cheap in absolute terms or relative to the EM benchmark (Chart I-9). Hence, they will not respond well to rising interest rates. Chart I-10Philippine Property Stocks Will Suffer As Interest Rates Rise Within this bourse, underweight/short property stocks. These stocks are the most vulnerable to rising bond yields (Chart I-10). The key risks to our strategy are lower global bond yields and continuous flows of foreign capital into EM assets in general, and local bonds in particular.   Ayman Kawtharani Editor/Strategist ayman@bcaresearch.com Arthur Budaghyan Chief Emerging Markets Strategist arthurb@bcaresearch.com   China: Making Sense Of The Property Market Real estate activity in general, and property construction volumes in particular, are critical to our thesis of an ongoing growth slowdown in China. The basis is that construction volumes on the mainland have a considerable impact on industrial activity both within and outside China. On the structural front, housing demand is facing major headwinds: Genuine pent-up demand for housing has diminished. Most Chinese households already own at least one property. Based on a recent survey conducted by The Economic Daily,1 nearly 97% of households surveyed own at least one residential property. Last year’s China Household Finance Survey (CHFS), conducted by Southwestern University of Finance and Economics of China, showed about 68% of new homes sold in China’s urban areas in the first quarter of 2018 were purchased for the purpose of investment. In addition, the living area per capita in China’s urban areas has risen to 40 square meters as of the end of last year – larger than in South Korea and Japan. Other structural impediments include low affordability, slowing rural-to-urban migration, demographic changes and the promotion of the housing rental market. The government has been repeatedly stressing that China will not use the property market as a short-term economic growth-booster this time. The authorities will also continue to prevent speculative housing demand. Between late 2015 and 2017, the People's Bank of China undertook outright monetization of excess housing inventories via the Pledged Supplementary Lending (PSL) program. So far, even though the Chinese economy has already slowed considerably, the government has not injected much stimulus into the property market. On the contrary, the government has drastically reduced the number of slum-reconstruction units as well as its PSL injection this year. This year, the government has also started a new long-term project of renovating residential buildings built in 2000 or earlier. The projects involved include adding parking lots, elevators, fiber cable installments, electricity/gas line improvements, and so on. This renovation program will likely delay property purchases from those owners who were considering purchasing new properties instead of living in the older residential buildings. Chart II-1Property Sales In China: A Sustainable Recovery? From a cyclical perspective (6-12 months), falling home prices and relatively tight financing for property developers will likely prevent a recovery in construction activity: First, Chart II-1 shows there has recently been a pickup in residential property sales. Our research reveals that this has been the result of aggressive promotion strategies – price reductions – implemented by many real estate developers. Among the promotions being offered by many developers are “buy one property, get the second one at half price,” “buy a house and get a car for free,” or “buy a house and get free furniture and decorations.” Local governments have been “discouraging” outright property price declines. Yet, it seems they have allowed implicit price reductions to take place. In cases where outright price cuts cannot be avoided, the authorities try to limit them. Earlier this month, the government of Maanshan, a third-tier city in the Anhui province, released a rule instructing property developers not to lower prices by more than 10%. The outlook for China’s property market and construction activity is downbeat. As a result, official statistics on new housing prices do not truly reflect price pressures in the marketplace. Official statistics show new housing prices are rising at 9% since last year. Nevertheless, many 1st- and 2nd- tier cities are showing price declines in their secondhand residential property markets (Chart II-2).  Chart II-2China: Secondary Market Property Prices Are Weak Chart II-3Chinese Property Developers: Massive Pre-Sold Homes, But Lack Of Funding To Complete Construction   All in all, it seems that falling home prices have begun to spread from 1st tier cities to some 2nd- and 3rd-tier cities. The number of cities reporting declines in residential home prices is on the rise.   Second, in theory, falling property prices should discourage new starts and new construction. Falling prices signal that supply is exceeding demand, with producers typically responding by curtailing output. This holds true for any industry. However, the intricacies of property developers in China may be different. Chart II-4Building Construction Data Is A Broader Measure Than Commodity Buildings Specifically, property developers have been pre-selling aggressively since 2017 while slowing their completion process due to lack of financing (Chart II-3). Such financial constraints arose due to their rapid expansion in the past 10 years. Having already incurred enormous amounts of leverage, they have resorted to pre-sales as another source of funding. Property developers are currently under pressure to deliver those units that were pre sold about two years ago. Will they be able to secure new funding and ramp up construction? Or will they default or delay delivery of houses? It may well be different for each developer. The ones with strong balance sheets and access to financing will build and deliver. The weakest ones will default, while the average ones will likely delay delivery. Hence, it is difficult to gauge construction trends in the next six months in the residential property market. Even so, it is unlikely to be very strong given the industry is highly fragmented, and many small and medium and even some large developers are financially weak. Finally, there is a large gap between the two construction activity datasets – both published by the National Bureau of Statistics. These datasets are referred to as “commodity buildings” and “building construction” (Chart II-4). “Commodity buildings” – i.e., those developed by real estate developers (the equivalent of homebuilders in the US), are only a subset of “building construction.” The “building construction” dataset is more comprehensive. It includes not only “commodity buildings” but also buildings built by non-real estate developers. For example, companies, universities, and various organizations that can construct both residential and non-residential buildings for their own use. Both datasets include residential and non-residential buildings. From a cyclical perspective (6-12 months), falling home prices and relatively tight financing for property developers will likely prevent a recovery in construction activity. Chart II-5 illustrates that “building construction” floor area started, under construction and completed are all shrinking. They are much weaker than floor area started, under construction and completed of “commodity buildings.” Chart II-5Building Construction Is In Recession Chart II-6Falling Construction-Related Commodities Prices Reflect The Weakness In China Construction Activity The take-away from these datasets is as follows: Construction activity in China goes beyond property developers and “commodity buildings” statistics do not always paint the complete picture. Companies and organizations have dramatically curtailed their construction activity. Combined with tight financing conditions for real estate developers, this heralds a downbeat outlook for construction activity. Bottom Line: While short-term fluctuations in construction activity are impossible to gauge in China, the cyclical outlook remains negative. The current round of stimulus has avoided the property market, and real estate bubble excesses have not yet been wrung out. This is why we remain negative on China’s construction outlook and continue to recommend underweighting property developers relative to both the A-share and investable equity indexes. Falling steel, iron ore and industrial commodities prices confirm that construction activity in China remains weak (Chart II-6).   Ellen JingYuan He Associate Vice President ellenj@bcaresearch.com     Footnotes 1    The Economic Daily, administratively managed by the Ministry of Communication, is one of the most influential and authoritative newspapers in China. It is an official outlet for the government to publicize its economic policies. Equities Recommendations Currencies, Credit And Fixed-Income Recommendations

Feature We spent the past two weeks visiting and exchanging views with our clients in Asia. We presented our view that the ongoing stimulus measures are beginning to bear fruit in terms of stabilizing China’s economic activity, and that we expect the economic slowdown to bottom early next year. In addition, Chinese policymakers are signaling their willingness to accelerate stimulus on both monetary and fiscal fronts, which should mitigate the downside risks and help the economy regain traction in 2020. Interestingly, our view sparked divergent responses: clients outside of China were more upbeat about the state of the Chinese economy than clients from mainland China.  While few investors we spoke to showed concerns over an imminent “hard landing” in China’s economy or systemic risk from China’s financial system, our mainland Chinese clients remain skeptical that the ongoing stimulus will be sufficient to revive the economy. They were also worried that financial regulations may be too restrictive to generate the amount of money growth needed for the economy. Another interesting observation was that while being pessimistic about the economy, our mainland Chinese investors share our assessment that Chinese domestic stocks still have some upside in the coming year. On the other hand, global investors, who are more sanguine about China’s economic recovery, prefer to wait on the sidelines before favoring Chinese investable stocks (Chart 1). Chart 1AA Tale Of Two Markets: Onshore Outperforms Global Markets... Chart 1B...While Offshore Underperforms Below we present some of the top questions that were posed by investors during our trip, along with our answers. We recap the conclusions of our view, and draw out the investment implications of the differences between the sentiments towards China’s equity markets, in the last question of the report. Q: Recent economic data suggests a weakening Chinese economy. Why do you think the economy will reach a bottom in 2020? Historically, China’s credit formation has consistently led economic activity by about three quarters (Chart 2).  Even though credit growth this year has not been as strong as in previous expansionary cycles, a turning point in the credit impulse occurred at the start of 2019. This suggests that economic activity should turn around within the next two quarters. Chart 2Expecting A Turn In Q1 2020 Chart 3Emerging Green Shoots   Furthermore, despite weakening headline economic data, some underlying components indicate promising improvements (Chart 3): Growth in infrastructure investment has ticked up modestly in the past couple months, and is set to improve further. The State Council mandated local governments to allocate the proceeds from special-purpose bond sales to infrastructure projects by the end of October. This, combined with a frontloading of next year’s local government bonds, should lend support to infrastructure spending in the coming months. After fluctuating in and out of contraction for a year, growth in auto manufacturing production picked up in August and remained positive through October. This improvement is due to less contraction in auto sales and a faster reduction in auto inventories. Moreover, electricity output surged in October, which also indicates that growth may be gaining momentum. Chart 4Trade Should Improve Into 2020 Lastly, global financial conditions have eased significantly and credit growth has picked up worldwide, which should help support global demand. Even though Sino-US trade negotiations are ongoing, our baseline view is that a “Phase One” trade deal will be inked in the next couple months. Eased trade tensions and even some rollbacks in the existing tariffs on Chinese export goods, coupled with improved global demand, should provide some tailwinds to China’s external sector (Chart 4). Q: What is your outlook on China’s economic policy for 2020? The Chinese economic growth model remains reliant on credit formation and capital investment. Therefore, the sustainability of an economic recovery depends on whether Chinese policymakers are willing to keep the stimulus wheel turning. Chart 5A Sign Of A Policy Shift For investors favoring China-related assets, the good news is that there has been an increasing urgency in policymakers’ tone to support economic growth since September. Capex growth from state-owned enterprises (SOEs) has increasingly outpaced the private sector, which is significant:  A sustained rotation in the pace of SOE vis-à-vis private sector capex marked a turning point in the 2015-2016 cycle, when Chinese policymakers’ imperative to supporting growth outweighed their desire to continue with structural reforms (Chart 5).  We do not expect a 2016-style drastic rise in SOE capex growth next year, because the current economic slowdown is not as severe or prolonged as in 2015. Nonetheless, the rotation in capex growth is an important signal that Chinese policymakers may be more willing to stimulate the economy by again allowing the state sector to upstage the private sector. In the meantime, we expect that some pro-growth “policy adjustments” will be deployed in 2020: Chart 6Infrastructure Investment Likely To Rise Monetary policy will incrementally ease, with one to two 10-15bps loan prime rate (LPR) cuts in the next 3-6 months. At the same time, China’s central bank (PBoC) will keep bank liquidity ample and commercial banks’ funding costs relatively low, by continuing frequent liquidity injections to stabilize the interbank rate. A further cut in the reserve requirement ratio (RRR) is also highly likely. Keeping banks well capitalized will partially mitigate the pressure commercial banks face from falling profit margins and rising credit defaults. Accommodative monetary conditions will also support more stimulus on the fiscal front. We expect that the National People’s Congress in March 2020 will approve higher quotas on the issuing of local government bonds. Chinese state-owned commercial banks will continue to be the main buyers for local government bonds.  A portion of 2020 local government special-purpose bond issuance will be frontloaded to the remainder of 2019 and into the first months of next year. Relaxed capital requirements will likely boost local governments’ infrastructure project funding and expenditures. Our model suggests infrastructure spending should pick up from the current 3.3% year-on-year, to close to 7.5% in the second and third quarters next year (Chart 6). There are subtle signs that the government is starting to relax restrictions on the real estate sector. Land sales by local governments have increased since mid-2019, and the trend will continue into 2020 (Chart 7).  Income from land sales accounts for 70% of local government revenues, thus allowing more land sales should help fund a larger local government spending budget next year. Declining government subsidies to shantytown renovation (namely the Pledged Supplementary Lending, or PSL) have recently abated and will likely continue to improve (Chart 8). Chart 7Some Improvement To Come In The Real Estate Sector Chart 8Government Subsidies Will Continue   December’s Central Economic Work Conference (CEWC) will set policy priorities for the following year. We think Chinese policymakers will make economic growth a top priority for 2020. Credit growth swelled in the first quarter of 2019 following the December 2018 CEWC, and we expect a surge in early 2020 as well.Due to the unusually high credit growth in January this year and the seasonal factor next year (Chinese New Year will fall in January 2020), the surge in credit growth, on a year-over-year basis, will more likely be muted until towards the end of the first quarter and into the second quarter. Investors should overweight Chinese investable stocks in the next 6-12 months, but need to watch for more positive signs to upgrade tactical stance. Beyond the second quarter, however, the outlook gets cloudier as tension from the US election heats up and President Trump may change his trade negotiation strategies with China.1 This may have implications on China’s domestic policies. But for now, our baseline view is that Chinese policymakers will incrementally accelerate the pace of economic stimulus throughout next year. Q:  Monetary policy has been accommodative for more than a year, but capex this year has fallen below market expectations compared with past cycles. How will further stimulus help to revive investment and economic growth next year? In short, our answer is this: interest rate cuts alone will not be enough to boost economic growth in China. Capex, and growth more generally, will only revive through synchronized policy support from the Chinese authorities. In a previous report2 we discussed that the lack of response to monetary easing has been due to a less effective monetary policy transmission mechanism, a reactive and reluctant central bank, and a debt-loaded corporate sector. More importantly, the “half-measured” stimulus has been preferred by Chinese authorities in this cycle, as they prioritized financial de-risking over growth and have significantly tightened financial regulations since 2016. Given the expected policy pivot to a more pro-growth stance in the coming year, the following underlines our conviction that capex should pick up in 2020.  Modern Money Theory (MMT), with Chinese characteristics:3 local governments will ramp up debt again, and this quasi-fiscal stimulus will be a key support to the economy in 2020. During the 2015-2016 cycle, aggressive interest cuts did not result in a significant uptick in credit growth. Bank lending was not the core driver for economic recovery in 2016. The economy only bottomed following an unprecedented issuance of local government bonds after mid-2015 (Chart 9).  Chinese authorities will keep a “back door” open: even though overall tight financial regulations will remain intact, we expect the PBoC to allow a more moderate contraction in shadow banking (Chart 10). This will provide smaller banks and enterprises access to tap into bank credit. Importantly, this means the government will acquiesce to local governments in providing extra funding through shadow banking. We already see local government financing vehicles (LGFV) making a comeback in recent months. Chart 9A Chinese Version Of MMT Chart 10The "Back Door" May Open Wider     Small- and medium-sized enterprises (SMEs) will benefit from lowered financing costs through the new LPR system. As we pointed out in our previous report,4 the new LPR regime is not intended as much to expand bank credit as to help struggling SMEs survive economic hardships. This, along with tax cuts, should provide SMEs some relief from capital constraints. Q. CPI has been rising sharply and is above the government’s inflation target of 3%. Will inflation prevent the PBoC from maintaining an easy monetary policy? Chart 11PBoC Likely To Capitulate To Producer Deflation No. We think deflationary pressure in the industrial sector (measured by producer prices) poses a bigger threat to the economy, and that PBoC is more likely to loosen monetary policy than to tighten (Chart 11). Chart 12 shows that the recent surge in headline consumer prices has almost been entirely driven by soaring pork prices. There is compelling evidence from historical data that, unless core consumer price inflation also rises, climbing food prices alone will have a limited impact on PBoC policy (Chart 13). We think this approach is justified, as the necessity of “core feedthrough” is also what most central banks in the developed world look for when confronted with a detrimental supply shock. Chart 12Rising Pork Prices Have Driven Up Headline Inflation... Chart 13...But Won't Be Driving Up Interest Rates Chart 14A Wild Year For The RMB Core CPI has been trending downwards since February 2018, and there is no evidence to suggest that food prices will drive up core CPI inflation (Chart 13, bottom panel).  This, in combination with deflating producer prices, means that the probability of tighter monetary policy over the coming 6-9 months is extremely low. In fact, we expect, with high conviction, that the PBOC will guide the LPR lower in the coming months. Q: What is your view on the RMB for 2020? The RMB depreciated by 5% against the US dollar from its peak in February this year, mostly driven by market expectations of US tariffs imposed on Chinese export goods. Interest rate differentials, short-term capital flows, and economic fundamentals all have played much smaller roles in the RMB’s value changes (Chart 14). The depreciation in the CNY/USD this year has pushed the RMB close to two sigma below its long-term trend (Chart 15). As we expect a “Phase One” trade deal to be signed and trade tensions abating at least in the near term, the RMB will face upward pressure through the first half of 2020. The appreciation will also be supported by, although to a lesser extent, China’s improved domestic economy, rising demand for RMB-denominated assets, and a weakening US dollar (Chart 16). According to our model, the USD/CNY exchange rate can return to a 6.8-7.0 range, if a significant portion of the existing tariffs is rolled back (Chart 17).  This range seems to be within the “fair value” of the RMB, justifiable by the current China-US interest rate differential (Chart 14, bottom panel). Chart 15Has The RMB Gone Too Far? Chart 16Demand For RMB Assets On The Rise, Despite The Trade War However, it would not be in the PBoC’s best interests to let the RMB appreciate too rapidly, because an appreciating Chinese currency would act as a deflationary force on China’s export and manufacturing sectors.  The large differential in the China-US interest rates would allow PBoC to cut interest and/or RRR rates, to ease upward pressure on the RMB.   Chart 17Tariff Rollbacks Will Push Up RMB   Q: How should equity investors position themselves towards China over the coming year? We are bullish on Chinese investable stocks in the next 6 to 12 months, based on our view that the Chinese economy will bottom in the first quarter next year, policy will be incrementally more supportive, and a “Phase One” trade deal will be signed soon. In the very near term, however, we think downside risks to Chinese equities are not trivial. We remain a neutral tactical stance, but will continue to watch for the following signs before upgrading our tactical call from neutral to overweight.5 Chart 18A (top panel) shows that cyclical stocks remain very depressed relative to defensives, underscoring investors’ lack of confidence in the Chinese economy and trade negotiations. A breakout in cyclicals versus defensives would signify a major improvement in investor sentiment towards Chinese economic growth. An uptick in the relative performance of industrials and consumer staples (Chart 18A, bottom panel). The negative sensitivity of industrials and positive sensitivity of consumer staples to monetary policy suggests that the relative performance between the two sectors may be a reflationary barometer for China’s economy. The relative performance trend remains off its recent low, which suggests that China’s existing policy stance has not yet turned more reflationary. A technical breakdown in the relative performance of healthcare and utility stocks (Chart 18B) would also be a bullish sign. Investable health care and utilities stocks have historically led China’s economic activity, core inflation and stock prices by 1-3 months. A technical breakdown in the relative performance of these sectors would signify that market participants anticipate a bottom in China’s economy. As we mentioned at the outset, we observed an interesting divergence in sentiment among our domestic versus global investors. This divergence is reflected in both the onshore and offshore stock markets; year to date, onshore A shares have outperformed global benchmarks by 5.6% (Chart 1, on page 1 of the report). Chart 18AWaiting For A Telltale Sign... Chart 18B...Before A Tactical Upgrade However, all of the outperformance in A shares occurred before end April, when the trade talks broke down and domestic credit expansion significantly slowed from the first quarter. Since May, the relative performance of A shares in US dollar terms has been mostly flat, reflecting the fact the markets were not expecting a significant stimulus forthcoming.  Chinese investable stocks, on the other hand, have been trading heavily on the day-to-day news surrounding the trade negotiations and have significantly underperformed both domestic A shares and global benchmarks. Therefore, our base case view of a trade truce coupled with an improved Chinese economy and more supportive policy near year, warrant a cyclical overweight stance favoring Chinese investable stocks over their domestic peers. Earnings from both onshore and offshore markets will benefit from a modest improvement in economic activity, but we think the investable market will benefit more from the trade truce and more upside growth potential. Stay tuned.   Jing Sima China Strategist jings@bcaresearch.com Footnotes 1Please see Geopolitical Strategy Special Report, "Is China Afraid Of The Big Bad Warren?" dated October 25, 2019, available at gps.bcaresearch.com 2Please see China Investment Strategy Weekly Report, " Threading A Stimulus Needle (Part 1): A Reluctant PBoC," dated July 10 2019, available at cis.bcaresearch.com 3We call it a “MMT” because China’s state-owned commercial banks own approximately 80% of local government bonds. The commercial banks are essentially backed by China’s central bank, which has a fiat currency system and can make independent monetary policy decisions. 4Please see China Investment Strategy Weekly Report, "Mild Deflation Means Timid Easing," dated October 9, 2019, available at cis.bcaresearch.com 5Please see China Investment Strategy Special Report, "A Guide To Chinese Investable Equity Sector Performance," dated October 30, 2019, available at cis.bcaresearch.com Cyclical Investment Stance Equity Sector Recommendations

Underweight Similar to utilities, REITs have come to the forefront lately as they have populated the top return sector ranks. Importantly, today several key factors signal that investors should shed public market real estate exposure. Namely, weakening supply/demand dynamics, pricing pressures, macro headwinds and still pricey valuations (primarily rock bottom cap rates) are all firing warning shots. On the demand front, not only our proprietary real estate demand indicator has sunk recently, but also the latest Fed Senior Loan Officer survey revealed that demand for CRE loans remains feeble (third & bottom panels). Simultaneously, fewer bankers are willing to extend CRE credit according to the same quarterly Fed survey (second panel). This tightening backdrop coupled with decelerating credit growth, will continue to weigh on CRE prices and S&P REITs.  Bottom Line: We reiterate our underweight rating in the S&P real estate sector. For more details, please refer to the most recent Weekly Report. The ticker symbols for the stocks in this index are: BLBG – S5RLST – AMT, PLD, CCI, SPG, EQIX, WELL, PSA, EQR, AVB, SBAC, O, DLR, WY, VTR, ESS, BXP, CBRE, ARE, PEAK, MAA, UDR, EXR, DRE, HST, REG, VNO, IRM, FRT, KIM, AIV, SLG, MAC. ​​​​​​​

Dear Client, Instead of our regular weekly report next Monday, this Friday November 22, you will receive our flagship publication “The Bank Credit Analyst” with our annual investment outlook. Our regular publication service will resume on December 2  with our high-conviction calls for 2020. Kind regards, Anastasios Avgeriou Highlights Portfolio Strategy Weakening supply/demand dynamics, pricing pressures, macro headwinds and pricey valuations are all warning that REITs are headed south. Global capex blues and the ongoing manufacturing recession, the resilient US dollar and weak operating metrics all confirm that an underweight stance is still warranted in the S&P communications equipment index. Recent Changes There are no changes to our portfolio this week. Table 1 Feature The S&P 500 made fresh all-time highs again last week, as investors focused on hopes of a US/China trade deal and continued to ignore negative data/news at their own peril. Domestically, unemployment insurance claims jumped to the highest level since June, and none of the major market and industry groups showed a gain in output on a month-over-month basis in October according to the latest Fed industrial production release. Internationally, Korean exports remain in the doldrums, Chinese data releases were weak across the board, and the mighty US dollar is making multi-decade highs versus a slew of EM currencies. Chart 1Disquieting Gap All of this begs the question is global growth going to recover and aid the equity market grow into its lofty valuation? Our indicators suggest that a definitive earnings trough is now pushed out to Q2/2020. Thus, equity market caution is still warranted.   Given all the recent equity market euphoria, we feel more and more like “the lone calf standing on the desolate, dangerous, wolf-patrolled prairie of contrary opinion” as – arguably the greatest trader of all time – Jesse Livermore mused roughly a century ago. Share buybacks have been a key pillar underpinning stocks since the GFC averaging roughly $500bn/annum since 2010. But, last year equity retirement jumped to nearly $1tn/annum. That is clearly unsustainable, warning that there is a disconnect between the S&P 500 and already steeply decelerating share buybacks. Our equity retirement estimate for next year is a return to the 10-year average, signaling that the market may hit a significant air pocket (top panel, Chart 1). Another perplexing recent phenomenon has been the lack of buying on margin that typically confirms SPX breakouts. While this episode may be similar to the 2015/16 episode, if margin debt does not recover soon it will exert downward pull on the broad market (bottom panel, Chart 1). Turning over to earnings, revenues, margins and the forward multiple is instructive. Turning over to earnings, revenues, margins and the forward multiple is instructive. Chart 2 highlights the S&P 500 earnings growth surprise factor. In more detail, this IBES/Refinitiv data show how accurate the sell side analysts’ 12-month forward EPS forecasts have been over time: a reading above zero implies the analyst community was too timid, while a fall below zero signals analysts were too optimistic. Chart 2Unhinged From The EPS Accuracy Signal Equity market momentum moves with the ebb and flow of this factor and given the still downbeat message both from our SPX profit model (please refer to our recent webcast slides) and our simple liquidity indicator (please see Chart 4 from last week’s publication), we doubt 10% profit growth is even plausible for 2020. On the margin front, all four key profit margin drivers are on the brink of turning from tailwinds to headwinds as we recently highlighted in our “Peak Margins?” Special Report. Revenue growth is also at risk of a standstill. Domestic producer prices are deflating, and the ISM prices paid index has been clobbered. German, Japanese, Korean and Chinese wholesale prices are contracting and the OECD’s composite PPI measure is also sinking, suggesting that final demand is anemic at best. Under such a dire global pricing backdrop, it will be challenging for SPX sales to sustain their positive momentum, especially if the greenback remains well bid (Chart 3). Chart 3Top Line Growth Troubles Forward multiples have slingshot higher despite a near 40bps increase in the 10-year yield since Labor Day. When the discount rate rises the multiple should come in and vice versa. Thus, we would lean against the recent spike in the S&P 500 forward P/E (10-year yield shown inverted, Chart 4). This week we are updating our negative views on a niche high-yielding sector and a tech subgroup. Finally, while sifting through market internals, we recently stumbled upon the GICS2 S&P consumer services index. Digging deeper into services was revealing. This relative share price ratio has gapped down of late. One of the reasons is that the services component of the personal consumption expenditure (PCE) data is decelerating (PCE services shown advanced, middle panel, Chart 5). The ISM non-manufacturing survey is also an excellent leading indicator of the S&P consumer services index, and warns that things will likely get worse before they get better (bottom panel, Chart 5).       Chart 4Lofty Valuations Chart 5Market Internals Signal: Sit This One Out This week we are updating our negative views on a niche high-yielding sector and a tech subgroup. Getting Real With Real Estate We would refrain from chasing high yielding real estate stocks higher, and would rather avoid them altogether at the current juncture. Similar to utilities, REITs have come to the forefront lately as they have populated the top return sector ranks. However, real estate stocks, which have split out of the financials sector, are a niche GICS1 sector with a mere 3% market capitalization weight in the SPX, and have not driven the S&P 500 to all-time highs. Instead, tech stocks have, owing to their 23% market capitalization weight, as we have shown in recent research.1 Importantly, several key factors continue to signal that investors should shed public market real estate exposure. Namely, weakening supply/demand dynamics, pricing pressures, macro headwinds and still pricey valuations (primarily rock bottom cap rates) are all firing warning shots. The commercial real estate (CRE) sector is a bubble candidate that exemplifies this cycle’s excesses. As we have highlighted in the past, CRE prices sit at roughly two standard deviations above both the historical time trend and the previous cycle’s peak (not shown).2 Worryingly, CRE demand is waning. Not only our proprietary real estate demand indicator has sunk recently, but also the latest Fed Senior Loan Officer survey revealed that demand for CRE loans remains feeble (third & bottom panels, Chart 6). Simultaneously, fewer bankers are willing to extend CRE credit according to the same quarterly Fed survey (Chart 7). This tightening backdrop is weighing on CRE credit growth and CRE prices (second panel, Chart 6). In fact, absent credit growth providing the necessary fuel to sustain the CRE price inflation frenzy, there are rising odds that investors pull the plug on REITs (top panel, Chart 7). Chart 6Demand Ails Chart 7Time To... Already, occupancy rates have crested and there are increasing anecdotes of credit quality deterioration. As a result, CRE rents are also failing to keep up with inflation which eats into relative cash flow growth prospects (Chart 8). The supply side build up tilts this delicate balance further into deficit. Non-residential construction shows no signs of abating, with multi-family housing starts still running at an historically high rate of roughly 400K/annum (Chart 9). Such relentless overbuilding sows the seeds of the eventual felling in CRE prices and rents, which should also dent the S&P real estate sector. Chart 8...Lighten Up On Real Estate Chart 9Supply Build Up Is Deflationary Meanwhile, interest rate related headwinds will also weigh on this high-yielding sector in coming quarters, especially if the selloff in the bond market gains steam as BCA’s fixed income strategists continue to expect. While in the 2000s REITs were positively correlated with the 10-year Treasury yield, since 2010 this relationship has flipped and is now a tight inverse correlation (Chart 10). Chart 10Rising Yields = Sell REITs Finally, our proprietary Valuation Indicator (VI) has enjoyed an impressive run since the 2017 trough and despite the recent relative selloff remains in overvalued territory. Our Technical Indicator (TI) hit a wall of late near one standard deviation above the historical mean and has only partially unwound the overbought reading since the early 2018 bottom. If our thesis pans out, we expect heightened selling pressure to weigh further on our VI and TI (Chart 11). Chart 11Still Too Pricey Bottom Line: We reiterate our underweight rating in the S&P real estate sector. The ticker symbols for the stocks in this index are: BLBG – S5RLST – AMT, PLD, CCI, SPG, EQIX, WELL, PSA, EQR, AVB, SBAC, O, DLR, WY, VTR, ESS, BXP, CBRE, ARE, PEAK, MAA, UDR, EXR, DRE, HST, REG, VNO, IRM, FRT, KIM, AIV, SLG, MAC . Lost Signal The communications equipment rally stalled early in the summer and has since morphed into a bear market. We are sticking with our underweight recommendation, especially given a darkening profit outlook for this niche tech sub-group. Bellwether CSCO’s latest guidance was weak and confirmed that this capex-laden tech sub-index is in for a rough ride. Worryingly, CSCO’s key enterprise segment has no pulse. Historically, this data series has been positively correlated with telecom carrier capital outlays and the current message is grim (second panel, Chart 12). Tack on the ongoing manufacturing recession with CEOs canceling/postponing capital spending plans and the outlook dims further for the revenue prospects of communications equipment vendors (third & bottom panels, Chart 12). Chart 12Heed The CSCO Warning Adding insult to injury, the US/China trade war is further complicating the picture. The ongoing tariffs have exacerbated the global growth slowdown and global capex plans have come under intense scrutiny. The IFO’s World Economic Outlook capex intentions survey has plunged, warning that global exports of telecom gear have ample downside (Chart 13). Chart 13Global Capex Blues Chart 14US Dollar The Deflator The greenback’s resilience is also sapping business purchasing power, especially in the emerging markets, denting final-demand. Therefore, the US dollar’s appreciation robs communications equipment manufacturers’ pricing power, makes their goods more expensive in the global market place, and as a consequence forces market share losses on them (Chart 14). The greenback’s resilience is also sapping business purchasing power, especially in the emerging markets, denting final-demand. The implication of weakening pricing power is that profits will likely underwhelm. Currently, the sell-side is penciling in roughly 10% EPS growth for the S&P communications equipment index over and above the SPX in the next twelve months. This is a tall order and we would lean against such extreme analyst optimism (bottom panel, Chart 15). Operating metrics are quickly losing steam, another harbinger of profit ails for this tech sub-group. In more detail, our productivity proxy has taken a steep turn for the worse and industry executives have also put investment projects on hold (middle panel, Chart 15). Moreover, the communication equipment new orders-to-inventories ratio is contracting and industry resource utilization is probing multi-year lows, according to the Fed’s latest industrial production release. Under such a backdrop, relative top line growth is on track to level off and likely flirt with the contraction zone (Chart 16). Chart 15Operating Metric... Chart 16...Dysphoria Netting it all out, global capex blues, the resilient US dollar and weak operating metrics all confirm that an underweight stance is still warranted in the S&P communications equipment index.    Bottom Line: Continue to avoid the S&P communications equipment index. The ticker symbols for the stocks in this index are: BLBG – S5COMM – CSCO, JNPR, MSI, ANET, FFIV. Anastasios Avgeriou US Equity Strategist anastasios@bcaresearch.com Footnotes 1 Please see BCA US Equity Strategy Insight Report, “Deciphering Sector Returns” dated August 30, 2019, available at uses.bcaresearch.com. 2 Please see BCA US Equity Strategy Special Report, “10 Most FAQs From The Road” dated April 8, 2019, available at uses.bcaresearch.com. Current Recommendations Current Trades Size And Style Views Stay neutral cyclicals over defensives (downgrade alert) Favor value over growth Favor large over small caps (Stop 10%)

  Highlights While the Caixin PMI is pointing to improving economic conditions, other data series still reflect weak growth. China’s business cycle is likely to bottom in Q1 of next year, rather than in Q4. The failure of Chinese stocks to significantly outperform the global benchmark and the continued underperformance of cyclical stocks underscore the near-term risks to equities if this month’s trade & manufacturing data disappoint. We continue to recommend a neutral tactical stance (0-3 months) towards Chinese equities versus global stocks, but expect them to outperform on a cyclical (6-12 month) time horizon after economic growth firmly bottoms. Feature Tables 1 and 2 on pages 2 and 3 highlight key developments in China’s economy and its financial markets over the past month. On the growth front, the data remains mixed: the strength in the October Caixin PMI and the September pickup in electricity production are positive signs, but other important datapoints still point to weak conditions. We continue to expect that China’s business cycle is likely to bottom in Q1 of next year, rather than in Q4. We continue to expect that growth will bottom in Q1 of next year, rather than in Q4. Table 1China Macro Data Summary Table 2China Financial Market Performance Summary Within financial markets, Chinese stocks have rallied in absolute terms over the past month in response to greatly increased odds of a trade truce between China and the US, but have failed to outperform the global benchmark. This, in combination with the continued underperformance of cyclical stocks, suggests that hard evidence of an economic improvement in China will be required before Chinese stocks begin to rise in relative terms. The risk of near-term underperformance is still present, especially if October’s hard trade and manufacturing data disappoint. We continue to recommend a neutral tactical stance (0-3 months) towards Chinese equities versus global stocks, but expect them to outperform on a cyclical (6-12 month) time horizon after economic growth firmly bottoms. In reference to Tables 1 and 2, we provide below several detailed observations concerning developments in China’s macro and financial market data: Chart 1Not Yet A Clear Change In Trend The Bloomberg Li Keqiang index (LKI) ticked up in September, led by an improvement in electricity production. An improvement in the LKI in lockstep with a rising Caixin manufacturing PMI (discussed below) raises the odds that the Chinese economy may be bottoming earlier than we expect, but for now only modestly so. Chinese economic data is highly volatile, and Chart 1 shows that the improvement in the LKI is very muted when shown as a 3-month moving average. In addition, a slight improvement also occurred earlier this year, but proved to be a false signal. All told, for now we continue to expect that growth will bottom in Q1 of next year, rather than in Q4. Our leading indicator for the LKI was essentially flat in September on a smoothed basis, with sequential declines in M3 growth and the credit components of the indicator offsetting improvements in monetary conditions and M2. From a big picture perspective, the story of our LKI leading indicator remains unchanged: it continues to trend higher, at a much shallower pace than has been the case during previous easing cycles. The uptrend is the basis of our forecast that China’s growth will soon bottom, but the uncharacteristically shallow nature of the rise suggests that the eventual recovery will be modest. On a smoothed basis, Chinese residential floor space sold improved again in September, following a very significant rise in August. Over the past 12-18 months, we had emphasized that the double-digit pace of growth in China’s housing starts was unsustainable because it had entirely decoupled from the trend in sales (which have reliably led construction activity over the past decade). This gap disappeared over the summer due to a significant slowdown in starts, which is what we predicted would occur. However, the recent acceleration in floor space sold represents a legitimate fundamental improvement in the housing market, that for now is difficult to attribute to the recent drivers of housing demand (Chart 2).1 Still, investors should continue to watch China’s housing demand data closely over the coming few months, for further signs of a potential re-acceleration in housing construction. Investors need to see meaningful sequential improvements in China’s October trade and manufacturing data. The October improvement in China’s Caixin PMI was quite notable, as it appears to confirm the full one-point rise in the index that occurred in September and suggests that manufacturing in China’s private-sector is now durably expanding. Still, conflicting signals remain: the official PMI fell in October and remains below 50, and the significant September improvement in the Caixin PMI was not corroborated by an improvement in producer prices or nominal import growth (Chart 3). As PMIs are simply timely coincident indicators that do not generally have leading properties, investors will need to see meaningful sequential improvements in China’s October trade and manufacturing data in order to have confidence that the Caixin PMI improvement is not a false signal. Chart 2It Is Not Yet Apparent What Is Driving A Pickup In Housing Demand Chart 3If The Caixin PMI Is Not A False Signal, A Hard Data Improvement Must Occur Soon Chinese stocks have rallied 6-7% over the past month in absolute terms, but have modestly underperformed global equities. The rally in global stock prices has occurred largely in response to the mid-October announcement of a trade truce between China and the US. The failure of Chinese stocks to outperform during this period suggests hard evidence of an economic improvement in China will be required before Chinese stocks begin to outpace their global peers. At the regional equity level, the other notable development over the past month has been the continued outperformance of the MSCI Taiwan Index versus the global benchmark. Taiwan’s outperformance has been boosted by a rising TWD versus the dollar, but Taiwanese stocks have also outperformed in local currency terms. Taiwan province is highly exposed to global trade, and it is not surprising that equities have reacted positively to the prospect of a trade truce between the US and China. Further meaningful outperformance, however, will likely require a re-acceleration in Taiwanese exports, as export growth has merely halted its contraction (Chart 4). Within China’s investable equity market, cyclicals have underperformed defensives over the past month after having rallied significantly from late-August to mid-September (Chart 5). We noted in our October 30 Special Report that these cyclical sectors have historically been positively correlated with pro-cyclical macroeconomic and equity market variables,2 and their underperformance versus defensives is thus consistent with the failure of Chinese stocks in the aggregate to outperform global equities over the past month. In both cases, outperformance likely requires hard evidence of an upturn in China’s business cycle. Chart 4Export Growth Needs To Improve In Order To Expect Further Taiwanese Relative Outperformance Chart 5Cyclical Underperformance Underscores The Near-Term Risks To Chinese Vs. Global Stocks We do not take the rise in Chinese government bond yields as necessarily indicative of an imminent breakout in relative equity performance. Chart 6Chinese Relative Equity Performance Leads Bond Yields, Not The Other Way Around Chinese 10-year government bond yields have risen roughly 15bps over the past month, and are now 30bps off of their mid-August low. Many market participants view Chinese government bond yields as a leading growth barometer, but 10-year yields have actually lagged Chinese investable stock performance over the past two years (Chart 6). As such, we do not take the rise in yields as necessarily indicative of an imminent breakout in relative equity performance. Chinese onshore corporate bond spreads have declined over the past month as government bond yields have been rising, continuing a pattern of negative correlation between the two that has prevailed since early-2018. A negative correlation between yields and corporate bond spreads is a normal relationship, and it suggests that spreads may narrow over the coming year if the Chinese economy bottoms in Q1, as we expect. Spreads remain elevated despite the substantial easing in monetary conditions that occurred last year, due to persistent concerns about rising onshore defaults. While we acknowledge that defaults are indeed occurring, we have argued on several occasions that the pace of defaults would have to be much faster in order for current spreads to be justified.3 We continue to recommend a long RMB-denominated position in China’s onshore corporate bond market. The RMB has appreciated over the past month in response to news of a likely trade truce between the US and China, with most of the rise having occurred versus the US dollar. USD-CNY is likely to sustainably trade below the 7 mark in a trade truce scenario, but how much further downside is possible in the near-term absent a re-acceleration in Chinese economic activity remains an open question. With the Fed very likely on hold for the next year, stronger than expected economic growth in China would likely catalyze a persistent selloff in USD-CNY barring a re-emergence of the Sino-US trade war. This, however, is not our base-case view, meaning that we expect modest post-deal strength in the RMB.   Jonathan LaBerge, CFA Vice President Special Reports jonathanl@bcaresearch.com Jing Sima China Strategist JingS@bcaresearch.com   Footnotes 1. Please see China Investment Strategy Special Report, “China’s Property Market: Where Will It Go From Here?” dated September 13, 2018. 2. Please see China Investment Strategy Weekly Report, “A Guide To Chinese Investable Equity Sector Performance,” dated October 30, 2019. 3. Please see China Investment Strategy Weekly Reports, “A Shaky Ladder,” dated June 13, 2018, "Investing In The Middle Of A Trade War,” dated September 19, 2018 and "2019 Key Views: Four Themes For China In The Coming Year,” dated December 5, 2018. Cyclical Investment Stance Equity Sector Recommendations

Special Report

Highlights In this report, we build and present models designed to predict the odds of Chinese investable equity sector outperformance, based on a set of macroeconomic and equity market factors. BCA Research's China Investment Strategy service will aim to use our newly developed sector outperformance probability models to help investors to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. Among the top six factors explaining historical periods of sector performance, three were macroeconomic in orientation, and two were directly related to the broad Chinese equity market. We see this as strongly supportive of the potential returns to be earned from active top-down sector rotation within China’s investable market. Cyclical stocks are very depressed relative to defensives, and we would favor them versus defensives over the coming year if China strikes a trade deal with the US and the Chinese economy incrementally improves, as we expect. Feature In our June 19 Special Report, we reviewed the predictability and cyclicality of equity sector earnings in China's investable & domestic markets, and examined the relevance of earnings in predicting relative sector performance over the past decade. We noted that a few sectors scored highly in terms of earnings predictability and the relevance of those earnings in predicting relative performance. But we also highlighted that most of China's equity sectors, in both the investable and domestic markets, either demonstrated earnings trends that were difficult to predict based on the trend in overall market earnings or exhibited relative performance that was difficult to explain based on the relative earnings profile. Our models are designed to predict equity sector relative performance using a series of macroeconomic and equity market factors. In short, our June report underscored that China’s equity sectors warranted a closer examination, with a particular emphasis on understanding the specific macroeconomic or equity market factors that have historically predicted relative sector performance. Today’s report examines this question in depth, focused on China’s investable equity market. We hope to extend our research to the A-share market in the near future. Our approach focuses on constructing and presenting models that quantify a checklist-based approach to determining the odds of equity sector performance. The aim is to use these models to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. These recommendations will not mechanically follow the models; rather, we plan to use them as a stand in for what typically would be expected given the macro and financial market environment, and as a basis to investigate “abnormal” relative performance. We conclude by highlighting the substantial underperformance of cyclical vs defensives sectors over the past two years, and argue that it is highly unlikely that cyclicals will underperform defensives over the coming 12 months if China strikes a trade deal with the US and the economy incrementally improves, as we expect. We also explain the importance of monitoring the relative performance of health care & utilities stocks over the coming few months, and present a unique sector-based barometer for gauging China’s reflationary stance. The latter two relative performance trends are likely to assist investors in positioning for the big call: the outperformance of Chinese investable stocks vs the global benchmark. Detailing Our Approach In our effort to better understand historical periods of sector outperformance, we have chosen to model the probability of outperformance of each level 1 GICS sector (plus banks) based on a set of macro and equity market variables. Specifically, we use an analytical tool called a logistic regression, which forecasts the probability of a discrete event rather than forecasting the value of a dependent variable. We utilized this approach when building our earnings recession model for China (first presented in our January 16 Special Report1), and investors will often see it (in its conceptually different but practically similar probit form) employed when analyzing the likelihood of an economic recession. The New York Fed’s US recession model is a notable example of the latter,2 which has received much attention by market participants over the past year following the inversion of the US yield curve. The “events” that we modeled are historical periods of individual Chinese investable sector outperformance from 2010 to 2018, relative to the MSCI China index (the “broad market”). Charts I-1A and I-1B illustrate these periods with shading in each panel. We then attempt to explain these episodes of outperformance with the following macro predictors: Chart I-1AThis Report Builds Models Aimed At... Chart I-1B...Predicting The Shaded Regions Of These Charts Periods of accelerating economic activity, represented by our BCA's China Activity Index Periods of rising leading indicators of economic activity, represented by our BCA Li Keqiang Leading Indicator Episodes of tight monetary policy, defined as periods where China’s 3-month interbank repo rate is rising Periods of accelerating inflation, measured both by headline and core inflation We also include several equity market variables: uptrends in relative sector earnings, periods of rising broad market stock prices, uptrends in broad market earnings, and episodes of extreme technical conditions and relative over/undervaluation for the sector in question. In the case of energy stocks, we also include oil prices as a predictor. Charts I-2A and I-2B illustrate these periods as well as the macro & market variables that we have included as predictors. Chart I-2AWe Use These Macroeconomic And Equity Market Factors... Chart I-2B...To Predict Periods Of Equity Sector Outperformance Our approach also accounts for the existence of any leading or lagging relationships between the macro and market variables we have used as predictors and sector relative performance. In most cases the predictors lead relative sector performance, but in some cases it is the opposite. In the case of the latter, we have limited the lead of any variable in our models to 3 months in order to reduce the need to forecast. The link between tight monetary policy and industrial sector performance is one exception to this rule that we detail below. Finally, our approach also limits the extent to which we consider a leading relationship between our predictors and relative sector performance, in order to avoid picking up overlapping economic cycles. This issue, and the evidence supporting the existence of a 3½-year credit cycle in China, are detailed in Box 1. Box 1 Accounting For China’s 3½-Year Credit Cycle Over the course of the analysis detailed in this report, judgments concerning how much of a lead or lag to allow when accounting for any leading or lagging relationships between sector relative performance and either macroeconomic & stock market predictors were necessary. In cases where sector relative performance led any of our predictors, we capped the lead at 3-months to reduce the need to forecast the predictors when using the models. As explained below, the 8-month lead between industrial sector relative performance and tight monetary policy was the only exception to this rule. We also did not include any leading relationship between relative sector stock performance and the trend in relative sector EPS, and allowed at most a co-incident relationship. Limits were also required in the cases where our predictors led relative sector performance. While more lead time is usually better from the perspective of investment strategy, Chart I-B1 presents strong evidence of a 3½ -year credit cycle in China. Chart I-B2 illustrates the problem with including significant lags between predictors and relative sector performance when economic cycles are short. The chart shows the lead/lag correlation profile of the stylized cycle shown in Chart I-B1, and highlights that lags greater than 12-14 months risk picking up the impact of the previous economic cycle. Given this, we have limited the extent to which our predictors can lead relative sector performance in our models, and in practice lead times are generally less than one year. Chart I-B1Over The Past Decade, China Has Experienced A 3½-Year Credit Cycle Chart I-B2With Short Cycles, Excessive Lags Risk Picking Up The Previous Cycle The Key Drivers Of Chinese Investable Equity Sectors Pages 12-23 present the results of each sector’s outperformance probability model, along with a list of factors that were found to be useful predictors and a summary of the results. The importance of the factors included in the models is shown in each of the tables at the top right of pages 12-23 by a score of 1-3 stars, (loosely representing key levels of statistical significance) as well as each factor’s optimal lead or lag. A minus sign shows that the predictor leads sector relative performance, whereas a plus sign shows that it lags. Rising core inflation in China is the most important signal of sector performance that emerged from our analysis. Chart I-3China’s Sectors Linked Strongly To Core Inflation, Monetary Policy, And Growth Chart I-3 summarizes the significance of the factors in predicting sector performance in general, by summing up each predictor’s number of stars across all of the models. The chart shows that rising core inflation in China is the most important signal of sector performance that emerged from our analysis, followed by tight monetary policy, rising economic activity, rising broad market stock prices, oversold technical conditions, and rising broad market earnings. Chart I-3 highlights two important points: If regarded through the lens of causality alone, the strong relationship between rising core inflation and sector performance is somewhat surprising: normally, pricing power is subordinate to revenue/sales/demand as the primary factor driving fundamental performance. However, given that inflation is a lagging economic variable, we suspect that the significance of inflation in our models actually reflects the middle phase of the economic cycle in which sectors tend to best exhibit meaningful out/underperformance. It is also a stronger predictor of periods of tight monetary policy in China than headline inflation.3 This is an encouraging result for investors, as it suggests good odds that future episodes of meaningful sector outperformance can be identified given a particular macro view. Among the top six factors explaining historical periods of sector performance, three were macroeconomic in orientation, and two were directly related to the broad Chinese equity market. While Chinese equity sector performance can sometimes be idiosyncratic, we see this as strongly supportive of the idea that investors can earn positive excess returns by actively shifting between China’s equity sectors using a top-down approach. Turning to the specific results of our sector models, we present the following big-picture findings of our research: Defining China’s Cyclical & Defensive Sectors From a top-down perspective, the most important element of sector rotation typically involves shifting from defensive to cyclical stocks when economic activity is set to improve (and vice versa). In China, it is clear from the results of our models that the investable energy, materials, industrials, consumer discretionary, and information technology sectors are cyclical sectors. The relative performance of these sectors exhibits a positive relationship to pro-cyclical macro variables, or broad market trends. Following last year’s GICS changes, we also include the media & entertainment industry group (within the new communication services sector) in this list. Correspondingly, investable consumer staples, health care, financials, telecom services, utilities, and real estate are defensive sectors in China. Chart I-4Cyclical Stocks Are Bombed Out Versus Defensives Chart I-4 illustrates how these sectors have performed over the past decade by grouping them into equally-weighted cyclical and defensive stock price indexes, as well as the relative performance of cyclicals versus defensives. The chart makes it clear that cyclical stock performance is essentially as weak as it has ever been relative to defensives over the past decade, with the exception of a brief period in 2013. Panel 2 highlights that all of the underperformance of cyclicals over the past two years has been due to de-rating, rather than due to underperforming earnings. The Atypical Case Of Financials & Real Estate The fact that financial and real estate stocks are defensive in China is somewhat curious. In the case of financials, the abnormality is straightforward: most global equity portfolio managers would consider financials to be cyclical, and our work suggests that this is not true for the investable market. Our explanation for this apparent discrepancy is also straightforward: while small and medium banks in China have obviously grown in prominence over the past decade, large state-owned or state-affiliated commercial banks are still dominant in the provision of credit to China's old economy. In most cases China’s large banks lend to state-owned enterprises with implicit government guarantees, meaning that the earnings risk for Chinese banks has typically been lower than for the investable market in the aggregate. It remains to be seen whether this will remain true in a world where Chinese policymakers are keen to slow the pace at which China’s macro leverage ratio rises and to render the existing stock of debt more sustainable for the non-financial sector. Indeed, over a multi-year time horizon, the risk are not trivial that banks will be forced to recapitalize as a result of forced changes to loan terms (eg: significant increases in the amortization period of existing loans) or the recognition of sizeable loan losses, which would clearly increase the cyclicality of the Chinese investable financial sector. Chart I-5A Seeming Contradiction: Real Estate Is High-Beta, But Defensive On the real estate front, the anomaly is not that real estate stocks respond defensively to macroeconomic and stock market variables, it is that real estate stock prices are considerably more volatile than this defensive characterization would suggest. Globally (and especially in the US), real estate stocks are often viewed as bond proxies and thus are typically low-beta, but Chart I-5 shows that this is not the case in China. In our view, this issue is reconciled by the fact that Chinese investable real estate stocks are also highly positively linked to Chinese house price appreciation, with relative performance typically leading a pickup in house prices by up to 1 year. This strongly leading relationship has meant that real estate stocks have often outperformed the broad market as economic activity is slowing, in anticipation that policy easing will lead to an eventual recovery in house prices. Chart I-6Still Following The Defensive Playbook This Year In effect, investable real estate stocks are a high-beta sector that have acted counter-cyclically due to the historical interplay between economic activity, monetary policy, and the housing market. Real estate performance this year has not deviated from this playbook (Chart I-6), and so for now we are content to include real estate stocks in our defensive index. But similar to the case of financials, we can conceive of scenarios in which ongoing Chinese financial sector reform may change this relationship in the future. The Unique Monetary Policy Sensitivity Of Industrials And Consumer Staples Pages 14 and 16 highlight that industrials and consumer staples stocks have typically been sensitive to periods of tight monetary policy. In the case of industrials the relationship is negative, whereas consumer staples relative performance has been positively linked to these periods. In both cases, relative performance has led periods of tight monetary policy, significantly so in the case of industrials (by an average of 8 months). While the relative performance of banks, tech, and real estate stocks have also been linked to periods of tight monetary policy, industrials and consumer staples are the only sectors that have tended to lead these periods. Chart I-7Diverging Corporate Health Explains Industrials/Staples Monetary Policy Sensitivity This is a revelatory finding, and in our view it is explained by divergences in corporate health and leverage for the two sectors. We reviewed Chinese corporate health in our August 28 Special Report,4 and noted that the food & beverage sub-industry was a clear (positive) outlier based on our corporate health monitors. In particular, Chart I-7 highlights that food & beverage corporate health is markedly better than that for machinery companies or for industrial firms in general, supporting the notion that high (low) leverage is impacting the relative performance of industrials (consumer staples). The Leading Nature Of Health Care & Utilities Health care and utilities exhibit similar key drivers of relative performance: in both cases, periods of rising economic activity, rising core inflation, and rising broad market stock prices are all negatively associated with performance. Health care and utilities relative performance also happens to lead all three of those predictors, by 1-3 months on average depending on the variable in question. Our modeling work highlights that these are the only sectors whose relative performance has led multiple factors, suggesting that health care & utilities stocks are particularly interesting market bellwethers to monitor. Core Inflation Matters More Than Headline, Except For Energy & Real Estate As highlighted in Chart I-3, rising core inflation has been a much more important signal about relative sector performance than headline inflation. Chart I-8In China, Food Prices (Not Energy) Account For Headline/Core Differences The two exceptions to this rule relate to the energy and real estate sectors, with the former positively linked to headline inflation and the latter negatively linked. In both cases, we suspect that the relationship is a behavioral rather than a fundamental one. For energy, while rising headline inflation in developed countries is usually associated with rising energy prices, this is not true in the case of China. Chart I-8 highlights that differences between headline and core inflation over the past decade have almost always been driven by rising food prices. This implies that some investors (incorrectly) view energy stocks as a hedge against increases in consumer prices, even if those increases are not driven by rising fuel costs. In the case of real estate, investor expectations of eroding real disposable income and its impact on the housing market are likely the best explanation for the negative link between real estate relative performance and rising headline inflation. Whereas rising core inflation likely reflects a durable improvement in economic momentum (and thus would be positively correlated with income growth), episodes of rising Chinese headline inflation often reflect supply shocks that investors may perceive to be detrimental to household spending power (and thus expected housing demand). Investment Conclusions Our work aimed at explaining historical periods of Chinese investable sector outperformance has three investment implications in the current environment. Cyclicals will probably outperform defensives over the coming year if China strikes a trade deal with the US and the Chinese economy incrementally improves, as we expect. First, within China’s investable market, Chart I-4 illustrated that cyclical stocks are very depressed relative to defensives. Given our view that Chinese investable stocks are likely to outperform their global peers over a 6-12 month time horizon, we would also favor cyclicals to defensives over that period. For investors who are not yet overweight cyclical stocks in China, we would advise waiting for concrete signs that growth has bottomed (which should emerge sometime in Q1) before putting on a long position as we remain tactically neutral towards Chinese versus global stocks. But the key point is that it is highly unlikely that cyclicals will underperform defensives over the coming year if China strikes a trade deal with the US and the Chinese economy incrementally improves, as we expect. Second, the fact that investable health care and utilities stocks have particularly leading properties suggests that they should be monitored closely over the coming few months. A technical breakdown in the relative performance of these sectors would be an important sign that market participants are anticipating a bottoming in China’s economy, which may give investors a green light to position for a bullish cyclical stance. For now, both of these sectors continue to outperform (Chart I-9), supporting our decision to remain tactically neutral towards Chinese stocks. Third, the heightened negative sensitivity of industrials and positive sensitivity of consumer staples to monetary policy suggests that the relative performance trend between the two sectors may serve as a reflationary barometer for China’s economy. Chart I-10 shows that industrials outperformed staples last year once the PBOC shifted into easing mode, and anticipated the recovery in the pace of credit growth. However, industrials soon began to underperform staples, which also seems to have anticipated the fact that the recovery in credit was set to be less powerful than what has occurred during previous cycles. The fact that the relative performance trend is off its recent low is notable, and may suggest that China’s existing reflationary stance will be sufficient to stabilize economic activity if a trade deal with the US is indeed finalized in the near future. Chart I-9Key Defensive Sectors Are Still Outperforming, Supporting Our Neutral Tactical Stance Chart I-10Industrials Vs. Staples Anticipated That Easing Would Only Be Measured As a final point, BCA Research's China Investment Strategy service will aim to use our newly developed sector outperformance probability models to make more active equity sector recommendations in the future. These recommendations will not mechanically follow the models; rather, we plan to use the models as a stand in for what typically would be expected given the macro and financial market environment, and as a basis to investigate “abnormal” relative performance. We hope you will find these models to be a helpful quantification of the risk versus return prospects of allocating among China’s investable sectors. As always, we welcome any feedback that you may have about our approach.   Energy Chart II-1 Table II-1   Unsurprisingly, our energy sector model highlights that periods of energy outperformance are strongly linked to periods of rising crude oil prices. However, what is surprising is that periods of accelerating headline inflation in China are even more closely linked to periods of energy sector outperformance than episodes of rising oil prices, and that these periods of accelerating inflation are not generally caused by rising energy prices. The lack of a clear economic rationale for this relationship implies that some investors (incorrectly) view energy stocks as a hedge against increases in consumer prices, even if those increases are largely driven by rising food prices. The model also highlights that periods of strong undervaluation have historically been significant in predicting future energy sector outperformance, with a lag of roughly 8 months. The probability of energy sector outperformance has fallen sharply according to our model, but for now we continue to recommend a long absolute energy sector position on a 6-12 month time horizon. BCA’s Commodity & Energy Strategy service expects oil prices to trade at $70/barrel on average next year,5 Chinese headline inflation continues to rise, and we noted in our October 2 Weekly Report that energy stocks are heavily discounted.6 Barring a durable decline in oil prices below $55/barrel, investors should continue to favor China’s energy sector. Materials Chart II-2 Table II-2 Our model highlights that the materials sector is one of the clearest plays on accelerating industrial activity within the investable universe. Among the macro variables that we tested, periods of investable materials outperformance are strongly positively linked with periods when our BCA Activity Index and our leading indicator for the index have been rising. Periods of materials sector outperformance have also been positively correlated with prior periods of oversold technical conditions and rising broad market stock prices, underscoring that materials are a strongly pro-cyclical sector. We currently maintain no active relative sector trades, but our model suggests that investors should be underweight the investable materials sector relative to the broad investable index. Industrials Chart II-3 Table II-3 Periods of industrial sector outperformance have historically been positively correlated with relative industrial sector earnings, broad market stock prices, and prior oversold technical conditions. They have been negatively correlated with periods of tight monetary policy, rising core inflation, and prior overbought technical conditions. Since 2010, periods of industrial sector performance have led periods of tight monetary policy by 8 months, the longest lead of relative equity performance to any macro variable that we tested in our model (and the longest lead that we allowed). Industrial sector performance has also been strongly negatively linked with periods of rising core inflation. These findings, and the fact that our Activity Index and its leading indicator have not been highly successful at predicting periods of industrial sector outperformance, strongly suggest that industrials, while pro-cyclical, are primarily driven by expectations of easy monetary policy. We noted in an August 2018 Special Report that state-owned enterprises have become substantially leveraged over the past decade,7 and in a more recent report we highlighted that industries such as machinery have experienced a significant deterioration in corporate health over the past decade.8 This helps explain why industrial sector performance is so negatively impacted by tight policy. Our model suggests that the best time to be overweight industrial stocks is the early phase of an economic rebound, when Chinese stock prices are rising but market participants are not yet expecting tighter policy. These conditions may present themselves sometime in Q1, but probably not over the coming 0-3 months. Consumer Discretionary Ex-Internet & Direct Marketing Retail Chart II-4 Table II-4 Besides materials, China’s investable consumer discretionary sector has historically been the most positively associated with coincident and leading measures of industrial activity. Rising core inflation is also highly positively related to consumer discretionary outperformance, which may reflect improved pricing power for the sector. The strong link with industrial activity is in contrast to depictions of China’s consumer sector as being less correlated to money & credit trends than the overall economy, and is supportive of our view that industrial activity forms one of the three pillars of China’s business cycle.9 We ended the estimation period of our model as of December 2018, in order to avoid including the distortive effects of last year’s changes to the global industry classification standard (which resulted in Alibaba’s inclusion and overwhelming representation in the investable consumer discretionary sector). As such, the results of our model apply today to consumer discretionary stocks ex-internet & direct marketing retail. For now, the absence of an uptrend in our Activity Index and in core inflation is signaling underperformance of discretionary stocks outside of internet & direct marketing retail. Outperformance this year largely reflects a significant advance in consumer durable and apparel: by contrast, automobiles & components have underperformed the broad market by roughly 14% year-to-date. Consumer Staples Chart II-5 Table II-5 Historically, periods of consumer staples outperformance have been predicted by a falling Activity Index, periods of tight monetary policy, and over/undervalued conditions. The impact of monetary policy is particularly heavy in the model, suggesting that consumer staples are somewhat the mirror image of industrials in terms of the impact of leverage on relative equity performance. This too is supported by our August 28 Special Report,10 which noted that corporate health for the food & beverage sector was the strongest among the sectors we examined. However, the model failed to capture what has been very significant staples outperformance this year, highlighting the occasional limits of a rule-of-thumb approach to sector allocation. Investable consumer staples are reliably low-beta compared with the broad market, and we are not surprised that investors have strongly favored the sector this year amid enormous economic and policy uncertainty. An eventual improvement in economic activity, coupled with fairly rich valuation, should work against consumer staples stocks sometime in the first quarter of 2020. Investors who are positioned in favor of China-related assets should also be watching closely for any signs of a technical breakdown in the relative performance trend of investable staples. Health Care Chart II-6 Table II-6 Among the macro variables tested in our model, periods of health care outperformance are negatively related to coincident and leading measures of industrial activity and strongly negatively related to rising core inflation.  Health care outperformance is also strongly negatively related to periods of rising broad market stock prices, and positively related to prior oversold technical conditions. These results clearly signify that investable health care is a defensive sector, to be owned when the economy is slowing and when investable stocks in general are trending lower. Our model suggests that health care stocks are likely to continue to outperform, as they have been since the beginning of the year. A substantive US/China trade deal that meaningfully reduces economic uncertainty remains the key risk to health care outperformance over a 6- to 12-month time horizon. Financials Chart II-7 Table II-7 Our model highlights that periods of financial sector outperformance over the past decade have been negatively associated with periods of rising core inflation (a strong relationship), and with periods of rising index earnings. Oversold technical conditions have also helped explain future episodes of financial sector outperformance. The link between core inflation and the outperformance of financials appears to represent a behavioral rather than a fundamental relationship. When modeling periods of rising financial sector relative earnings, the trend in broad market EPS is more predictive than that of core inflation, highlighting that the latter’s explanatory power is due to investor behavior. The results of our model, and the fact that core inflation leads Chinese index earnings, suggests that financials are fundamentally counter-cyclical and that investors see rising Chinese core inflation as confirmation that an economic expansion is underway (and that broad market earnings are likely to rise). Our model is currently predicting financial sector outperformance, but investable financials have modestly underperformed since the beginning of the year. This appears to have been caused by the underperformance of financial sector earnings this year as overall index earnings growth has decelerated, contrary to what history would suggest. We suspect that the ongoing shadow banking crackdown is related to financial sector earnings underperformance, and we would advise against an overweight stance towards investable financials until signs of improving relative earnings emerge. Banks Chart II-8 Table II-8 Our model shows that periods of banking sector outperformance are more linked to macro variables than has been the case for the overall financial sector. Specifically, bank performance is negatively correlated with leading indicators of economic activity and rising core inflation, and especially negatively correlated with periods of tight monetary policy. Banks have also typically outperformed following periods of oversold technical conditions. Similar to financials, bank earnings are typically counter-cyclical, but relative bank earnings have not been good predictors of relative bank performance over the past decade. Still, the negative association of relative stock prices with leading economic indicators, rising core inflation and rising interest rates underscores that investors should normally be underweight banks if they expect overall Chinese stock prices to rise. Also similar to the overall financial sector, our model is currently predicting outperformance for bank stocks, but investable banks have underperformed year-to-date. The shadow banking crackdown is also likely impacting investable bank earnings, leading to a similar recommendation to avoid bank stocks until relative earnings look to be trending higher. “Tech+”   Chart II-9 Table II-9 Our technology model has worked well at predicting periods of tech sector outperformance over the past several years, particularly from 2015 – 2017. The model suggests that, in addition to being negatively related to prior overbought conditions, periods of technology sector outperformance are associated with improving growth conditions, easy monetary policy, and rising prices. In other words, tech stocks are a growth & liquidity play. Owing to last year’s changes to the GICS, the results of our model apply today to Chinese investable internet & direct marketing retail, the media & entertainment industry group (within the new communication services sector), and the now considerably smaller information technology sector (the sum of which could be considered the “tech+” sector). The model has been predicting tech sector outperformance since May (in response to easier monetary policy), which has occurred for the official information technology sector. However, the BAT (Baidu, Alibaba, and Tencent) stocks are only up fractionally in relative terms from their late-May low. Our expectation that China’s economy is likely to bottom in Q1 means that we may recommend upgrading “tech+” stocks relative to the investable benchmark in the coming months. Telecom Services Chart II-10 Table II-10 Our model for telecommunication services (now a level 2 industry group within the communication services sector) illustrates that telecom stocks have historically been counter-cyclical. Periods of telecom outperformance have been negatively associated with periods of rising core inflation, rising broad market stock prices, and rising broad market EPS. It is notable that telecom services stocks are driven more by cycles in overall stock prices than by cycles in economic activity. This suggests that investors tend to focus on the fact that telecom stocks are reliably low-beta compared with the overall investable market, causing out(under)performance of telecoms when the broad market is falling(rising). Similar to financials & banks, telecom stocks have not outperformed this year, in contrast to what our model would suggest. Earnings also appear to be the culprit, with the level of 12-month trailing earnings having fallen nearly 10% since the summer. China Mobile accounts for a sizeable portion of the telecom services index, and the company’s recent earnings weakness seems to be due to depreciation charges stemming from forced investment on 5G spending (mandated by the Chinese government). Our sense is that this will have only a temporary effect on telecom services EPS, meaning that investors should continue to expect the sector to behave in a counter-cyclical fashion over the coming year. Utilities Chart II-11 Table II-11 The early performance of our utilities model was mixed, as it generated several false sell signals during the 2011 – 2013 period despite recommending, on average, an overweight stance. However, over the past five years, the model has performed extremely well in terms of explaining periods of relative utilities performance. The model highlights that utilities are straightforwardly counter-cyclical. The relative performance of utilities stocks is positively related to its relative earnings trend, and negatively related to economic activity, rising core inflation, and broad market stock prices.  Consistent with a decline in the overall MSCI China index, the model has correctly predicted utilities outperformance this year. We expect utilities to underperform over a 6-12 month time horizon, but would advise against an aggressive underweight position until hard evidence of a bottom in Chinese economic activity emerges. Real Estate Chart II-12 Table II-12 Our model for the relative performance of investable real estate has been among the most successful of those detailed in this report, which is somewhat surprising given the macro factors that the model shows drive real estate performance. While periods of relative real estate performance are modestly (negatively) associated with periods of tight monetary policy, rising headline inflation is the most important macro predictor of real estate underperformance. Among market factors driving performance, real estate stocks reliably underperform when broad market EPS are trending higher, and they historically outperform for a time after becoming relatively undervalued. Real estate relative performance is also strongly linked to periods of rising house prices, but the former tends to significantly lead the latter. Given that core inflation has better predicted episodes of tight monetary policy than headline inflation, investor expectations of eroding real disposable income is likely the best explanation for the negative link between real estate relative performance and rising headline inflation. Whereas rising core inflation likely reflects a durable improvement in economic momentum (and thus would be positively correlated with income growth), episodes of rising Chinese headline inflation often reflect supply shocks that investors may perceive to be detrimental to household spending power (and thus expected housing demand). Beyond the negative link between higher inflation and interest rates on investable real estate performance, the strong negative association with broad market earnings underscores that investors treat real estate as a defensive sector. We thus expect real estate stocks to continue to outperform in the near term, but underperform over a 6-12 month time horizon.   Jonathan LaBerge, CFA Vice President jonathanl@bcaresearch.com   Footnotes 1. Please see China Investment Strategy, "Six Questions About Chinese Stocks," dated January 16, 2019. 2. Please see Federal Reserve Bank of New York, The Yield Curve as a Leading Indicator at https://www.newyorkfed.org/research/capital_markets/ycfaq.html 3. This is despite frequent concerns among investors that the PBOC is inclined to tighten in response to detrimental supply shocks. 4. Please see China Investment Strategy, "Messages From BCA’s China Industry Watch," dated August 28, 2019. 5. Please see Commodity & Energy Strategy, "Policy Uncertainty Lifts USD, Stifles Global Oil Demand Growth," dated October 17, 2019. 6. Please see China Investment Strategy, "China Macro & Market Review," dated October 2, 2019. 7. Please see China Investment Strategy, "Chinese Policymakers: Facing A Trade-Off Between Growth And Leveraging," dated August 29, 2018. 8. Please see China Investment Strategy, "Messages From BCA’s China Industry Watch," dated August 28, 2019. 9. Please see China Investment Strategy, "The Three Pillars Of China’s Economy," dated May 16, 2018. 10. Please see China Investment Strategy, "Messages From BCA’s China Industry Watch," dated August 28, 2019. Cyclical Investment Stance Equity Sector Recommendations